Agell Jané, Núria

Education

• Doctora en Matemáticas.
• Licenciada en Ciencias Matemáticas.

Biography

Selected publications

• Bueno, A., Rodriguez-Serrano, J. A., Torrens, M., Agell, N., Nguyen, J. T. V. & Agell, N. (2024, May). Poster: Using Deep Attention Multiple Instance Learning To Improve Malpractices Detection In The Health Sector [Paper presentation]. https://convin.gr/assets/files/misc/IALM2024_Abstract%CE%92ook.pdf
• Abuasaker, W., Nguyen, J., Ruiz, F., Sánchez, M. & Agell, N. (2023). Perceptual maps to aggregate assessments from different rating profiles: A hesitant fuzzy linguistic approach. Applied Soft Computing Journal, 147, 110803. DOI: https://doi.org/10.1016/j.asoc.2023.110803.
• Agell, N. (2023). Capturing Young People's Interest in Food Waste Reduction. Artificial Intelligence Research and Development (pp. 256). IOS Press BV. DOI: https://doi.org/10.3233/FAIA230690.
• Fernández, Ó., Vandendriessche, M., Saz Carranza, A., Agell, N. & Franco, J. (2023). The impact of Russia's 2022 invasion of Ukraine on public perceptions of EU security and defence integration: a big data analysis. Journal of European Integration, 45 (3), pp. 463-485. DOI: https://doi.org/10.1080/07036337.2023.2183392.
• Ding, B., Ferrás-Hernández, X. & Agell, N. (2023). Combining lean and agile manufacturing competitive advantages through Industry 4.0 technologies: an integrative approach. Production Planning and Control, 34 (5), pp. 442-458. DOI: https://doi.org/10.1080/09537287.2021.1934587.
• Fronte, P., Agell, N., Torrens, M. & Brugarolas, D. (2022). Importance-Performance Analysis in Project Portfolio Management Using an IOWA Operator. In Cortes, A., Grimaldo, F. & Flaminio, T. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence (pp. 45-51). IOS Press BV. DOI: https://doi.org/10.3233/FAIA220312.
• Afsordegan, A., Del Vasto-Terrientes, L., Valls, A., Agell, N. & Sánchez, M. (2022). Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method. Annals of Operations Research, 312 (2), pp. 1307-1335. DOI: https://doi.org/10.1007/s10479-017-2590-4.
• Nguyen, J., Armisen, A., Agell, N. & Saz Carranza, A. (2022). Comparing global news sentiment using hesitant linguistic terms. International Journal of Intelligent Systems, 37 (4), pp. 2868-2884. DOI: https://doi.org/10.1002/int.22579.
• Saz Carranza, A., Vandendriessche, M., Nguyen, J. & Agell, N. (2022). The EU's interactions with formal intergovernmental organizations: a big data analysis of news media. Journal of European Integration, 44 (5), pp. 635-655. DOI: https://doi.org/10.1080/07036337.2022.2074982.
• Porro, O., Agell, N., Sánchez, M. & Ruiz, F. (2022). A Multi-perceptual-Based Approach for Group Decision Aiding. In Torra, V., Narukawa, Y. (Ed.), Modeling Decisions for Artificial Intelligence - 19th International Conference, MDAI 2022, Proceedings (pp. 15-25). Springer Science and Business Media Deutschland GmbH. DOI: https://doi.org/10.1007/978-3-031-13448-7_2.
• Riu Vila, D., Casabayó, M., Sayeras Maspera, J., Rovira Llobera, X. & Agell, N. (2022). A new method to assess how curricula prepare students for the workplace in higher education. Educational Review, 74 (2), pp. 207-225. DOI: https://doi.org/10.1080/00131911.2020.1713050.
• Porro, O., Agell, N., Sánchez, M. & Ruiz, F. (2021). A multi-attribute group decision model based on unbalanced and multi-granular linguistic information: An application to assess entrepreneurial competencies in secondary schools. Applied Soft Computing Journal, 111, 107662. DOI: https://doi.org/10.1016/j.asoc.2021.107662.
• Porro, O., Pardo-Bosch, F., Sánchez, M. & Agell, N. (2021). Perceptual Maps to Aggregate Information from Decision Makers. In Villaret, M., Alsinet, T. & Fernandez, C., Valls, A. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2021 (pp. 37-45). IOS Press BV. DOI: https://doi.org/10.3233/FAIA210114.
• Nguyen, J., Montserrat-Adell, J., Agell, N., Sánchez, M. & Ruiz, F. (2020). Fusing hotel ratings and reviews with hesitant terms and consensus measures. Neural Computing and Applications, 32 (19), pp. 15301-15311. DOI: https://doi.org/10.1007/s00521-020-04778-x.
• Porro, O., Pardo-Bosch, F., Agell, N. & Sánchez, M. (2020). Understanding location decisions of energy multinational enterprises within the European smart cities' context: An integrated AHP and extended fuzzy linguistic TOPSIS method. Energies, 13 (10), 2415. DOI: https://doi.org/10.3390/en13102415.
• Angulo, C., Falomir, I. Z., Anguita, D., Agell, N. & Cambria, E. (2020). Bridging Cognitive Models and Recommender Systems. Cognitive Computation, 12 (2), pp. 426-427. DOI: https://doi.org/10.1007/s12559-020-09719-3.
• Nguyen, J., Armisen, A., Sánchez-Hernández, G., Sanchez-Hernandez, G., Casabayó, M. & Agell, N. (2020). An OWA-based hierarchical clustering approach to understanding users' lifestyles. Knowledge-Based Systems, 190, 105308. DOI: https://doi.org/10.1016/j.knosys.2019.105308.
• Torra, V., Narukawa, Y., Nin, J. & Agell, N. (2020). Preface. Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12256 LNAI, pp. v.
• Nguyen, J., Armisen, A., Agell, N. & Saz, Á. (2020). Aggregating news reporting sentiment by means of hesitant linguistic terms. In Torra, V., Narukawa, Y. & Nin, J., Agell, N. (Eds.), Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Proceedings (pp. 252-260). Springer. DOI: https://doi.org/10.1007/978-3-030-57524-3_21.
• Nguyen, J., Montserrat-Adell, J., Armisen, A., Torrens, M. & Agell, N. (2019). Measuring rating exigency. In Sabater-Mir, J., Torra, V. & Aguilo, I., Gonzalez-Hidalgo, M. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2019 (pp. 256-265). IOS Press. DOI: https://doi.org/10.3233/FAIA190132.
• Porro, O., Agell, N. & Sánchez, M. (2019). A fuzzy decision-aiding approach to implement sustainable marine itineraries. In Sabater-Mir, J., Torra, V. & Aguilo, I., Gonzalez-Hidalgo, M. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence, CCIA 2019 (pp. 223-227). IOS Press. DOI: https://doi.org/10.3233/FAIA190127.
• Matei, M., Rovira Llobera, X. & Agell, N. (2019). Bivariate volatility modeling with high-frequency data. Econometrics, 7 (3), 41. DOI: https://doi.org/10.3390/econometrics7030041.
• Agell, N., Armisen, A., Nguyen, J. & Rovira Llobera, X. (2019, June). Applying a fuzzy aggregator to segment user profiles based on their opinions [Paper presentation]. 30th European Conference on Operational Research.
• Agell, N., Casabayó, M. & Mohanty, P. (2019, June). Stop product failure!: Applying fuzzy TOPSIS and AHP to define a framework to understand innovator group customers in FMC [Paper presentation]. 41st Annual ISMS Marketing Science Conference, Rome .
• Agell, N., Planellas Arán, M., Porro Martorell, O. & Sánchez Soler, M. (2019, June). Entrepreneurship education: Towards the validity of an impactful and effective framework for business schools [Paper presentation]. 25th International Conference on Multiple Criteria Decision Making MCDM 2019.
• Montserrat-Adell, J., Xu, Z., Gou, X. & Agell, N. (2019). Free Double Hierarchy Hesitant Fuzzy Linguistic Term Sets: An application on ranking alternatives in GDM. Information Fusion, 47, pp. 45-59. DOI: https://doi.org/10.1016/j.inffus.2018.07.002.
• Agell, N., Casabayó, M. & Mohanty, P. (2018, December). Identifying variables to define innovator group in the healthy food industry: A fuzzy approach [Paper presentation]. 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 2018.
• Ruiz, F., Agell, N., Angulo, C. & Sánchez, M. (2018). A learning system for adjustment processes based on human sensory perceptions. Cognitive Systems Research, 52, pp. 58-66. DOI: https://doi.org/10.1016/j.cogsys.2018.06.011.
• Vila Fernández-Santacruz, M., Afsordegan, A., Agell, N., Sánchez, M. & Costa Guix, G. (2018). Influential factors in water planning for sustainable tourism destinations. Journal of Sustainable Tourism, 26 (7), pp. 1241-1256. DOI: https://doi.org/10.1080/09669582.2018.1433183.
• Montserrat-Adell, J., Agell, N., Sánchez, M. & Ruiz, F. (2018). Consensus, dissension and precision in group decision making by means of an algebraic extension of hesitant fuzzy linguistic term sets. Information Fusion, 42, pp. 1-11. DOI: https://doi.org/10.1016/j.inffus.2017.09.004.
• Nguyen, J., Sánchez-Hernández, G., Sanchez-Hernandez, G., Armisen, A., Agell, N., Rovira Llobera, X. & Angulo, C. (2018). A linguistic multi-criteria decision-aiding system to support university career services. Applied Soft Computing Journal, 67, pp. 933-940. DOI: https://doi.org/10.1016/j.asoc.2017.06.052.
• Agell, N., Carricano, M. X. & Vives, L. (2018). Adopción e impacto del big data y advanced analytics en España.
• Nguyen, J., Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N., Rovira Llobera, X. & Angulo, C. (2018). A decision support tool using Order Weighted Averaging for conference review assignment. Pattern Recognition Letters, 105, pp. 114-120. DOI: https://doi.org/10.1016/j.patrec.2017.09.020.
• Prats, F., Sánchez, M. & Agell, N. (2018). A Lattice Structure for the Set of Interval-Valued Fuzzy-Qualitative Labels. In Falomir, Z., Plaza, E. & Gibert, K. (Eds.), Artificial Intelligence Research and Development (pp. 47-56). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-918-8-47.
• Mohanty, P., Agell, N. & Casabayó, M. (2018). Identifying variables to define innovator group in the healthy food industry. In Bramer, M., Petridis, M. (Ed.), Artificial Intelligence XXXV - 38th SGAI International Conference on Artificial Intelligence, AI 2018, Proceedings (pp. 440-445). Springer Verlag. DOI: https://doi.org/10.1007/978-3-030-04191-5_36.
• Nguyen, J., Armisen, A., Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N. & Angulo, C. (2018). A Fuzzy Learning Method to Segment Visitors of a Tourist Attraction. In Falomir, Z., Plaza, E. & Gibert, K. (Eds.), Artificial Intelligence Research and Development (pp. 96-105). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-918-8-96.
• Kadzi¿ski, M., Ghaderi, M., W¿sikowski, J. & Agell, N. (2017). Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: An experimental analysis. Computers and Operations Research, 87, pp. 146-164. DOI: https://doi.org/10.1016/j.cor.2017.05.011.
• Montserrat-Adell, J., Agell, N., Sánchez, M., Prats, F. & Ruiz, F. (2017). Modeling group assessments by means of hesitant fuzzy linguistic term sets. Journal of Applied Logic, 23, pp. 40-50. DOI: https://doi.org/10.1016/j.jal.2016.11.005.
• Montserrat-Adell, J., Agell, N., Sánchez, M. & Ruiz, F. (2017). A consensus degree for hesitant fuzzy linguistic decision making. 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (8015491). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2017.8015491.
• Nguyen, J., Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N., Armisen, A., Rovira Llobera, X. & Angulo, C. (2017). Evaluating student-internship fit using fuzzy linguistic terms and a fuzzy OWA operator. 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 (8015646). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2017.8015646.
• Ghaderi, M., Ruiz, F. & Agell, N. (2017). A linear programming approach for learning non-monotonic additive value functions in multiple criteria decision aiding. European Journal of Operational Research, 259 (3), pp. 1073-1084. DOI: https://doi.org/10.1016/j.ejor.2016.11.038.
• Raya, C., Ruiz, F., Angulo, C., Samà, A. & Agell, N. (2017). A transformational creativity tool to support musical composition. In Aguilo, I., Angulo, C. & Alquezar, R., Ortiz, A., Torrens, J. (Eds.), Recent Advances in Artificial Intelligence Research and Development - Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2017 (pp. 287-292). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-806-8-287.
• Agell, N., Nguyen, J., Rovira Llobera, X., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2016, October). An OWA-based multi-criteria system for assigning reviewers [Paper presentation]. 19è Congrés Català d'Intel·ligència Artificial CCIA 2016.
• Sayeras Maspera, J., Agell, N., Rovira Llobera, X., Sánchez, M. & Dawson, J. (2016). A measure of perceived performance to assess resource allocation. Soft Computing, 20 (8), pp. 3201-3214. DOI: https://doi.org/10.1007/s00500-015-1696-3.
• Prats, F., Roselló, L., Sánchez, M. & Agell, N. (2016). On fuzzy-qualitative descriptions and entropy. International Journal of Approximate Reasoning, 75, pp. 93-107. DOI: https://doi.org/10.1016/j.ijar.2016.02.006.
• Agell, N., Costa Guix, G. & Vila Fernández-Santacruz, M. (2016, July). Towards sustainable tourism: What factors most influence decision makers in water-energy planning? [Paper presentation]. BEST EN Think Tank XVI: Corporate Responsibility in Tourism - Standards Practices and Policies.
• Agell, N., Rovira Llobera, X., Sánchez Soler, M. & Sayeras Maspera, J. (2016, July). Using qualitative reasoning to evaluate performance: An application in the retail sector [Paper presentation]. 29th International Workshop on Qualitative Reasoning QR 2016.
• Afsordegan, A., Sánchez, M., Agell, N., Zahedi, S. & Cremades, L. V. (2016). Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives. International Journal of Environmental Science and Technology, 13 (6), pp. 1419-1432. DOI: https://doi.org/10.1007/s13762-016-0982-7.
• Apostolou, D., Zachos, K., Maiden, N., Agell, N., Sánchez-Hernández, G., Sanchez-Hernandez, G., Taramigkou, M., Star, K. & Wippoo, M. (2016). Facilitating Creativity in Collaborative Work with Computational Intelligence Software. IEEE Computational Intelligence Magazine, 11 (2), pp. 29-40. DOI: https://doi.org/10.1109/MCI.2016.2532266.
• Afsordegan, A., Sánchez, M., Agell, N., Aguado, J. C. & Gamboa, G. (2016). Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework. Journal of Experimental and Theoretical Artificial Intelligence, 28 (1-2), pp. 261-274. DOI: https://doi.org/10.1080/0952813X.2015.1024489.
• Nguyen, J., Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N., Rovira Llobera, X. & Angulo, C. (2016). An OWA ased multi-criteria system for assigning papers to reviewers. In Binefa, X., Nebot, A. & De Mantaras, R. L. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2016 (pp. 253-262). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-696-5-253.
• Nguyen, J. T. V., Sanchez-Hernandez, G., Agell, N., Rovira, X. & Angulo, C. (2016). An OWA-Based Multi-Criteria System for Assigning Papers to Reviewers. Frontiers in Artificial Intelligence and Applications, 288, pp. 253-262. DOI: https://doi.org/10.3233/978-1-61499-696-5-253.
• Montserrat-Adell, J., Agell, N., Sánchez, M. & Ruiz, F. (2016). A representative in group decision by means of the extended set of hesitant fuzzy linguistic term sets. In Navarro-Arribas, G., Yañez, C. & Narukawa, Y., Torra, V. (Eds.), Modeling Decisions for Artificial Intelligence - 13th International Conference, MDAI 2016, Proceedings (pp. 56-67). Springer Verlag. DOI: https://doi.org/10.1007/978-3-319-45656-0_5.
• Museros, L., Pujol, O. & Agell, N. (2015). Special issue CogKnow. Pattern Recognition Letters, 67, pp. 1. DOI: https://doi.org/10.1016/j.patrec.2015.07.033.
• Agell, N., Sánchez, M. & Prats, F. (2015). L-fuzzy sets for group linguistic preference modeling. In Yazici, A., Pal, N. R. & Ishibuchi, H., Tutmez, B., Lin, C., Sousa, J. M. C., Kaymak, U. (Eds.), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems (7338063). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2015.7338063.
• Nguyen, J., Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N. & Angulo, C. (2015). InsERT. In Yazici, A., Pal, N. R. & Ishibuchi, H., Tutmez, B., Lin, C., Sousa, J. M. C., Kaymak, U. (Eds.), FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems (7337984). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2015.7337984.
• Chiclana, F., Agell, N., Wu, J. & Herrera-Viedma, E. (2015). Fuzzy decision-making and consensus: New trends and real-life applications. Applied Soft Computing Journal, 35, pp. 789-791. DOI: https://doi.org/10.1016/j.asoc.2015.07.043.
• Agell, N., Van Ganzewinkel, C. J., Sánchez, M., Roselló, L., Prats, F. & Andriessen, P. (2015). A consensus model for Delphi processes with linguistic terms and its application to chronic pain in neonates definition. Applied Soft Computing Journal, 35, pp. 942-948. DOI: https://doi.org/10.1016/j.asoc.2015.03.024.
• Museros, L., Pujol, O. & Agell, N. (2015, May). Special Issue on 'new Advances in Similarity-Based Systems and Applications'. Applied Artificial Intelligence, 29 (5), pp. 421-423. DOI: https://doi.org/10.1080/08839514.2015.1026648.
• Ghaderi, M., Ruiz, F. & Agell, N. (2015). Understanding the impact of brand colour on brand image: A preference disaggregation approach. Pattern Recognition Letters, 67, pp. 11-18. DOI: https://doi.org/10.1016/j.patrec.2015.05.011.
• Ruiz, F., Raya, C., Samà, A. & Agell, N. (2015). A transformational creativity tool to support chocolate designers. Pattern Recognition Letters, 67, pp. 75-80. DOI: https://doi.org/10.1016/j.patrec.2015.05.012.
• Agell, N., Sánchez, M., Prats, F. & Ruiz, F. (2015). Computing Distances between Decision Makers Using Hesitant Fuzzy Linguistic Term Sets. In Boixader, D., Grimaldo, F. & Armengol, E. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence (pp. 71-79). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-578-4-71.
• Acevedo-Valle, J. M., Angulo, C., Agell, N. & Moulin-Frier, C. (2015). Proprioceptive Feedback and Intrinsic Motivations in Early-Vocal Development. In Boixader, D., Grimaldo, F. & Armengol, E. (Eds.), Artificial Intelligence Research and Development - Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence (pp. 9-18). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-578-4-9.
• Ruiz, F., Raya, C., Samà, A. & Agell, N. (2014). A Computational creativity system to support chocolate designers decisions. In Agell, N., Pujol, O. & Museros, L. (Eds.), Artificial Intelligence Research and Development - Recent Advances and Applications (pp. 87-94). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-452-7-87.
• Agell, N., Casabayó, M., Puigbò, J. Y., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2014). Influencer detection approaches in social networks: A current state-of-the-art. Artificial Intelligence Research and Development: Recent Advances and Applications (pp. 261-264). DOI: https://doi.org/10.3233/978-1-61499-452-7-261.
• Agell, N. & Casabayó, M. (2014, October). Influencer detection approaches in social networks: A current state-of-the-art [Paper presentation]. 17è Congrés Català d'Intel·ligència Artificial CCIA 2014.
• Agell, N., Ghaderi, M. & Ruiz, F. J. (2014). Understanding color trends by means of non-monotone utility functions. Artificial intelligence research and development: Recent advances and applications (pp. 107-115). DOI: https://doi.org/10.3233/978-1-61499-452-7-107.
• Agell, N., Van Ganzewinkel, C. J., Sánchez, M., Roselló, L., Prats, F. & Andriessen, P. (2014). A new approach for Delphi processes based on group consensus with linguistic terms. Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE (pp. 5-10). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/FUZZ-IEEE.2014.6891645.
• Agell, N., Banerjee, S. & Casabayó, M. (2014, July). Exploring the role of consensus measures in decision science: An experience towards summarizing users' opinions [Paper presentation]. 20th Conference of the International Federation of Operational Research Societies.
• Agell, N., Ghaderi, M. & Ruiz Vegas, F. J. (2014, July). Learning non-monotonic preferences, a new algorithm [Paper presentation]. 20th Conference of the International Federation of Operational Research Societies.
• Agell, N. & Casabayó, M. (2014). El gran potencial de la lógica difusa.
• Afsordegan, A., Agell, N. & Sánchez Soler, M. (2014, February). Multi-criteria decision making with linguistic labels: A comparison of two methodologies applied to energy planning [Paper presentation]. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2014.
• Prats, F., Roselló, L., Sánchez, M. & Agell, N. (2014). Using L-fuzzy sets to introduce information theory into qualitative reasoning. Fuzzy Sets and Systems, 236, pp. 73-90. DOI: https://doi.org/10.1016/j.fss.2013.06.013.
• Afsordegan, A., Sánchez, M., Agell, N., Aguado, J. C. & Gamboa, G. (2014). A comparison of two MCDM methodologies in the selection of a windfarm location in Catalonia. In Agell, N., Pujol, O. & Museros, L. (Eds.), Artificial Intelligence Research and Development - Recent Advances and Applications (pp. 227-236). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-452-7-227.
• Agell, N., Waring, K. M. & Graves, T. A. (2014). Predicting height growth of sugar pine regeneration using stand and individual tree characteristics. Forestry, 87 (1), pp. 85-97. DOI: https://doi.org/10.1093/forestry/cpt028.
• Ghaderi, M., Ruiz, F. & Agell, N. (2014). Understanding color trends by means of non-monotone utility functions. In Agell, N., Pujol, O. & Museros, L. (Eds.), Artificial Intelligence Research and Development - Recent Advances and Applications (pp. 107-115). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-452-7-107.
• Casabayó, M., Agell, N., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2014). Improved market segmentation by fuzzifying crisp clusters: A case study of the energy market in Spain. Expert Systems with Applications, 42 (3), pp. 1637-1643. DOI: https://doi.org/10.1016/j.eswa.2014.09.044.
• Puigbò, J. Y., Sánchez-Hernández, G., Sanchez-Hernandez, G., Casabayó, M. & Agell, N. (2014). Influencer detection approaches in social networks. In Agell, N., Pujol, O. & Museros, L. (Eds.), Artificial Intelligence Research and Development - Recent Advances and Applications (pp. 261-264). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-452-7-261.
• Museros, L., Pujol, O. & Agell, N. (2014). Preface. Frontiers in Artificial Intelligence and Applications, 269, pp. v-vi.
• Roselló, L., Sánchez, M., Agell, N., Prats, F. & Mazaira, F. A. (2014). Using consensus and distances between generalized multi-attribute linguistic assessments for group decision-making. Information Fusion, 17 (1), pp. 83-92. DOI: https://doi.org/10.1016/j.inffus.2011.09.001.
• Samà, A., Ruiz, F., Agell, N., Pérez-López, C., Català, A. & Cabestany, J. (2013). Gait identification by means of box approximation geometry of reconstructed attractors in latent space. Neurocomputing, 121, pp. 79-88. DOI: https://doi.org/10.1016/j.neucom.2012.12.042.
• Agell, N., Ruiz Vegas, F. J. & Samà Monsonís, A. (2013, October). Granular computing for gait recognition through singular spectrum analysis [Paper presentation]. 16è Congrés Català d'Intel·ligència Artificial CCIA 2013.
• Agell, N., Aguado Chao, J. C., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2013, October). Natural language-based automatic qualitative description of clusters [Paper presentation]. 16è Congrés Català d'Intel·ligència Artificial CCIA 2013.
• Agell, N., Ruiz Vegas, F. J., Sánchez-Hernández, G., Sanchez-Hernandez, G. & Sánchez Soler, M. (2013, August). Group decision-making system based on a qualitative location function. An application to chocolates design [Paper presentation]. 27th International Workshop on Qualitative Reasoning QR 2013.
• Agell, N., Ruiz Vegas, F. J., Sánchez-Hernández, G., Sanchez-Hernandez, G. & Sánchez Soler, M. (2013, June). Selecting the best taste: A group decision-making application to chocolates design [Paper presentation]. 2013 IFSA World Congress. NAFIPS Annual Meeting.
• Agell, N. & Sánchez Soler, M. (2013, June). Assessment of renewable energies based on fuzzy and qualitative multi-criteria decision making [Paper presentation]. 22nd International Conference on Multiple Criteria Decision Making, Málaga 2013.
• Agell, N., Ghaderi, M., Ruiz Vegas, F. J. & Sánchez Soler, M. (2013, June). Multi-criteria preference disaggregation analysis for classification: an application to model colour preferences [Paper presentation]. 22nd International Conference on Multiple Criteria Decision Making MCDM, Málaga 2013.
• Sánchez-Hernández, G., Sanchez-Hernandez, G., Chiclana, F., Agell, N. & Aguado, J. C. (2013). Ranking and selection of unsupervised learning marketing segmentation. Knowledge-Based Systems, 44, pp. 20-33. DOI: https://doi.org/10.1016/j.knosys.2013.01.012.
• Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N. & Aguado, J. C. (2013). Natural language-based automatic qualitative description of clusters. In Gibert, K., Botti, V. & Reig-Bolano, R. (Eds.), Artificial Intelligence Research and Development. Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence (pp. 225-234). DOI: https://doi.org/10.3233/978-1-61499-320-9-225.
• Agell, N., Sánchez-Hernández, G., Sanchez-Hernandez, G., Sánchez, M. & Ruiz, F. (2013). Selecting the best taste. Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 (pp. 939-943). DOI: https://doi.org/10.1109/IFSA-NAFIPS.2013.6608526.
• Samà, A., Ruiz, F. & Agell, N. (2013). Granular computing for gait recognition through singular spectrum analysis. In Gibert, K., Botti, V. & Reig-Bolano, R. (Eds.), Artificial Intelligence Research and Development. Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence (pp. 101-104). DOI: https://doi.org/10.3233/978-1-61499-320-9-101.
• Agell, N., Sánchez, M., Prats, F. & Roselló, L. (2012). Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions. Information Sciences, 209, pp. 49-60. DOI: https://doi.org/10.1016/j.ins.2012.05.005.
• Agell, N., Angulo Bahón, C., Ruiz Vegas, F. J. & Sánchez Soler, M. (2012, July). A qualitative learning system to acquire human sensory abilities in adjustment tasks [Paper presentation]. 26th International Workshop on Qualitative Reasoning QR 2012.
• Ruiz, F., Samà, A. & Agell, N. (2012). Active learning of actions based on support vector machines. Artificial Intelligence Research and Development. Proceedings of the 15th International Conference of the Catalan Association for Artificial Intelligence (pp. 37-46). IOS Press. DOI: https://doi.org/10.3233/978-1-61499-139-7-37.
• Agell, N. & Casabayó, M. (2012). A fuzzy segmentation approach to guide marketing decisions. Fuzzy methods for customer relationship management and marketing: Applications and classifications (pp. 291-311).
• Casabayó, M. & Agell, N. (2012). A fuzzy segmentation approach to guide marketing decisions. Fuzzy Methods for Customer Relationship Management and Marketing (pp. 291-311). IGI Global. DOI: https://doi.org/10.4018/978-1-4666-0095-9.ch013.
• Agell, N., Ruiz Vegas, F. J., Samà Monsonís, A., SANABRIA MONTAÑEZ, J. A., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2011, July). An interval technical indicator for financial time series forecasting [Paper presentation]. 25th International Workshop on Qualitative Reasoning QR 2011.
• Agell, N., Garcia Vidal, D., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2011, July). Using qualitative reasoning to model users profiles: An approach to movie recommendations [Paper presentation]. 25th International Workshop on Qualitative Reasoning QR 2011.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2011). A qualitative reasoning approach to measure consensus. Consensual processes (pp. 235-261).
• Roselló, L., Prats, F., Agell, N. & Sánchez, M. (2011). A qualitative reasoning approach to measure consensus. In Herrera-Viedma, E., Garcia-Lapresta, J. L. & Kacprzyk, J., Zadrozny, S., Fedrizzi, M., Nurmi, H. (Eds.), Consensual Processes (pp. 235-261). DOI: https://doi.org/10.1007/978-3-642-20533-0_14.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2010, November). Using qualitative reasoning to measure discrepancy and consensus in group decision [Paper presentation]. 10th International Conference on Intelligent Systems Design and Applications, Cairo 2010.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2010, October). Using qualitative reasoning for a recommender system [Paper presentation]. 13th International Conference of the Catalan Association for Artificial Intelligence.
• Agell, N., Ruiz Vegas, F. J., Samà Monsonís, A., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2010, October). Moving intervals for nonlinear time series forecasting [Paper presentation]. 13th International Conference of the Catalan Association for Artificial Intelligence.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2010, August). A recommender system based on group consensus [Paper presentation]. 24th International Workshop on Qualitative Reasoning QR 2010.
• Agell, N., SANABRIA MONTAÑEZ, J. A., Sánchez-Hernández, G., Sanchez-Hernandez, G. & Sayeras Maspera, J. (2010, August). An application of SVMs to predict financial exchange rate by using sentiment indicators [Paper presentation]. V Simposio de Teoría y Aplicaciones de Minería de Datos, Valencia 2010.
• Agell, N. & DIASIO, S. (2010, June). Replanting the answer garden: Cultivating expertise through decision support technology [Paper presentation]. 12th International Conference on Enterprise Information Systems, Funchal 2010.
• Agell, N. & DIASIO, S. (2010, May). IBM innovation jams: A mechanism for change [Paper presentation]. 10th EURAM Annual Conference 2010.
• Roselló, L., Prats, F., Agell, N. & Sánchez, M. (2010). Measuring consensus in group decisions by means of qualitative reasoning. International Journal of Approximate Reasoning, 51 (4), pp. 441-452. DOI: https://doi.org/10.1016/j.ijar.2010.01.002.
• Diasio, S. R. & Agell, N. (2010). An intermediary's perspective on co-creation. 16th Americas Conference on Information Systems 2010, AMCIS 2010 (pp. 1217-1226).
• Roselló, L., Sánchez, M., Prats, F. & Agell, N. (2010). Using qualitative reasoning to measure discrepancy and consensus in group decision. Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 477-482). DOI: https://doi.org/10.1109/ISDA.2010.5687218.
• Diasio, S. R. & Agell, N. (2010). Replanting the answer garden. ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems (pp. 373-378).
• Roselló, L., Sánchez, M., Agell, N. & Prats, F. (2010). Using qualitative reasoning for a recommender system. Artificial Intelligence Research and Development (pp. 173-182). IOS Press. DOI: https://doi.org/10.3233/978-1-60750-643-0-173.
• Sánchez-Hernández, G., Sanchez-Hernandez, G., Samà, A., Ruiz, F. & Agell, N. (2010). Moving intervals for nonlinear time series forecasting. Artificial Intelligence Research and Development (pp. 217-225). IOS Press. DOI: https://doi.org/10.3233/978-1-60750-643-0-217.
• Agell, N. & DIASIO, S. (2009, July). Integrating decision support systems: Expert, group, and collective intelligence [Paper presentation]. 12th International Conference on Artificial Intelligence ICAI 2009.
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2009, April). SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing [Paper presentation]. European Symposium on Artificial Neural Networks, Bruges 2009.
• Samà, A., Ruiz, F., Agell, N. & Angulo, C. (2009). Using a simulated annealing to enhance learning in adjustment processes. Frontiers in Artificial Intelligence and Applications (1st ed., pp. 119-127). IOS Press. DOI: https://doi.org/10.3233/978-1-60750-061-2-119.
• Ruiz, F., Agell, N. & Angulo, C. (2009). SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing. ESANN 2009 Proceedings, 17th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning (pp. 343-348).
• Diasio, S. R. & Agell, N. (2009). Integrating decision support systems. Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009 (pp. 554-560).
• Diasio, S. R. & Agell, N. (2009). The evolution of expertise in decision support technologies. Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2009 (pp. 692-697). DOI: https://doi.org/10.1109/CSCWD.2009.4968139.
• Sanabria, J. A., Sánchez, G. & Agell, N. (2009). A boost in exchange rate forecasting. Frontiers in Artificial Intelligence and Applications (1st ed., pp. 310-317). IOS Press. DOI: https://doi.org/10.3233/978-1-60750-061-2-310.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2008, October). New challenges: Group decision systems by means of entropy defined through qualitative reasoning structures [Paper presentation]. XI Congrés Internacional de l'Associació Catalana d'Intel·ligència Artificial CCIA 2008.
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2008). Intersection and signed-intersection kernels for intervals. Artificial intelligence research and development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (pp. 262-270).
• Ruiz, F., Angulo, C. & Agell, N. (2008). IDD: A supervised interval distance-based method for discretization. IEEE Transactions on Knowledge and Data Engineering, 20 (9), pp. 1230-1238. DOI: https://doi.org/10.1109/TKDE.2008.66.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2008, July). The concept of entropy by means of generalized orders of magnitude qualitative spaces [Paper presentation]. 18th European Conference on Artificial Intelligence ECAI 2008.
• Agell, N., Casabayó, M., Samà Monsonís, A., Sánchez-Hernández, G. & Sanchez-Hernandez, G. (2008, June). Forecasting customer's loyalty by means of an unsupervised fuzzy learning method [Paper presentation]. 28th Annual International Symposium on Forecasting.
• Agell, N., Ruiz Vegas, F. J., SANABRIA MONTAÑEZ, J. A. & Sayeras Maspera, J. (2008, June). A SVM approach to foreign exchange forecasting [Paper presentation]. 28th Annual International Symposium on Forecasting.
• Agell, N., Casabayó, M. & DAWSON, J. A. (2008). Artificial intelligence: ¿Fiction film or business reality?.
• Roselló, L., Prats, F., Sánchez, M. & Agell, N. (2008). New challenges. Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (1st ed., pp. 215-222). IOS Press. DOI: https://doi.org/10.3233/978-1-58603-925-7-215.
• Ventura, M., Sanchez-Niubo, A., Ruiz, F. P., Agell, N., Vilar Ventura, R. M., Angulo, C., Domingo-Salvany, A., Segura, J. & De la Torre, R. (2008). Qualitative evaluation of chromatographic data from quality control schemes using a support vector machine. Analyst, 133 (1), pp. 105-111. DOI: https://doi.org/10.1039/b711653p.
• Ruiz, F., Angulo, C. & Agell, N. (2008). Intersection and signed-intersection kernels for intervals. Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (1st ed., pp. 262-270). IOS Press. DOI: https://doi.org/10.3233/978-1-58603-925-7-262.
• Güereca, L. P., Agell, N., Gassó, S. & Baldasano, J. M. (2007). Fuzzy approach to life cycle impact assessment: An application for biowaste management systems. International Journal of Life Cycle Assessment, 12 (7), pp. 488-496. DOI: https://doi.org/10.1065/lca2006.10.276.
• Agell, N., Angulo Bahón, C., Català, A., González, L., Ruiz Vegas, F. J. & Velasco, F. (2007). Analyzing a sustainability indicator by means of qualitative kernels. Advanced methods for decision making and risk management in sustainability science (pp. 129-142).
• Agell, N., Aguado Chao, J. C., Prats Duaygues, F., Sánchez-Hernández, G., Sanchez-Hernandez, G. & Sánchez Soler, M. (2007). Selection criteria for fuzzy unsupervised learning: Applied to market segmentation. Foundations of fuzzy logic and soft computing: 12th International Fuzzy Systems Association World Congress, IFSA 2007 (pp. 307-317).
• Agell, N., Prats Duaygues, F., Rovira Llobera, X., Sánchez Soler, M. & Ventura Alemany, M. (2007, June). Group decision systems for ranking and selection: An application to the accreditation of doping control laboratories [Paper presentation]. 9th International Conference on Enterprise Information Systems, Funchal 2007.
• Rovira Llobera, X., Agell, N., Sánchez, M., Prats, F. & Ventura, M. (2007, January). Group decision systems for ranking and selection an application to the accreditation of doping control laboratories [Paper presentation]. 9th International Conference on Enterprise Information Systems, ICEIS 2007, Funchal, Madeira. http://www.scopus.com/inward/record.url?scp=67649973470&partnerID=8YFLogxK
• Domingo, M., Agell, N., Parra, X., Sánchez, M. & Angulo, C. (2007). Using qualitative information to predict citizens' satisfaction. AI Communications, 20 (1), pp. 59-65.
• Olmo, C., Sánchez-Hernández, G., Sanchez-Hernandez, G., Prats, F., Agell, N. & Sánchez, M. (2007). Using orders of magnitude and nominal variables to construct fuzzy partitions. 2007 IEEE International Conference on Fuzzy Systems, FUZZY (4295500). DOI: https://doi.org/10.1109/FUZZY.2007.4295500.
• Sánchez-Hernández, G., Sanchez-Hernandez, G., Agell, N., Aguado, J. C., Sánchez, M. & Prats, F. (2007). Selection criteria for fuzzy unsupervised learning. Foundations of Fuzzy Logic and Soft Computing - 12th International Fuzzy Systems Association World Congress, IFSA 2007, Proceedings (pp. 307-317). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-72950-1_31.
• Sánchez, G., Aguado, J. C. & Agell, N. (2007). Forecasting new customers' behaviour by means of a fuzzy unsupervised method. Artificial Intelligence Research and Development (pp. 368-375).
• Ruiz, F., Angulo, C., Agell, N. & Català, A. (2007). Kernel machines for non-vectorial data. Computational and Ambient Intelligence - 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, Proceedings (pp. 252-259). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-73007-1_31.
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2006, October). Qualitative induction trees applied to the study of the financial rating [Paper presentation]. 9è Congrés Internacional de l'Associació Catalana d'Intel·ligència Artificial CCIA'06.
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2006, October). Nature-inspiration on kernel machines: Data mining for continuous and discrete variables [Paper presentation]. 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems, Bournemouth 2006.
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2006). Support Vector Machines for color adjustment in automotive basecoat. Artificial intelligence research and development (pp. 19-27).
• Agell, N., Prats Duaygues, F., Roselló Saurí, L. & Sánchez Soler, M. (2006). Qualitative induction trees applied to the study of the financial rating. Recent advances in artificial intelligence research and development (pp. 63-70).
• Agell, N., Ormazabal Sánchez, G., Prats Duaygues, F. & Sánchez Soler, M. (2006). An evaluation method with imprecise information for multi-attribute decision support. Current topics in artificial intelligence (pp. 133-142).
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2006). Nature-inspiration on kernel machines: Data mining for continuous and discrete variables. Knowledge-based intelligent information and engineering systems (pp. 425-432).
• Agell, N., Prats Duaygues, F., Rovira Llobera, X. & Sánchez Soler, M. (2006, July). Using orders of magnitude in multi-attribute decision-making [Paper presentation]. 20th International Workshop on Qualitative Reasoning QR 2006.
• Agell, N., Angulo Bahón, C. & Ruiz Vegas, F. J. (2006). A supervised discretization method for quantitative and qualitative ordered variables.
• Agell, N., Casabayó, M. & DAWSON, J. A. (2006, January). Forecasting customer's behaviour in the Spanish grocery industry: Identifying the customers who are going to buy online [Paper presentation]. 5th International Marketing Trends Conference 2006.
• Ruiz, F., Angulo, C. & Agell, N. (2006). Nature-inspiration on kernel machines. Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings (pp. 425-432). Springer Verlag. DOI: https://doi.org/10.1007/11893004_55.
• Ruiz, F., Angulo, C. & Agell, N. (2006). Support Vector Machines for color adjustment in automotive basecoat. Artificial Intelligence Research and Development (pp. 19-27).
• Prats, F., Sánchez, M., Agell, N. & Ormazabal, G. (2006). An evaluation method with imprecise information for multi-attribute decision support. Current Topics in Artificial Intelligence - 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Revised Selected Papers (pp. 133-142). Springer Verlag. DOI: https://doi.org/10.1007/11881216_15.
• Roselló, L., Agell, N., Sánchez, M. & Prats, F. (2006). Qualitative Induction Trees applied to the study of the financial rating. Artificial Intelligence Research and Development (pp. 63-70).
• Travé-Massuyès, L., Prats, F., Sánchez, M. & Agell, N. (2005). Relative and absolute order-of-magnitude models unified. Annals of Mathematics and Artificial Intelligence, 45 (3-4), pp. 323-341. DOI: https://doi.org/10.1007/s10472-005-9002-1.
• Agell, N., Olmo Olmo, C., Prats Duaygues, F., Sánchez-Hernández, G., Sanchez-Hernandez, G. & Sánchez Soler, M. (2005, November). Idempotent linearly compensated hybrid connectives for customers patterns segmentation [Paper presentation]. Conferencia de la Asociación Española para la Inteligencia Artificial, Santiago de Compostela 2005.
• Agell, N., Aguado Chao, J. C., Banchillería Masó, R. & Casabayó, M. (2005, November). An unsupervised learning algorithm to store pattern recognition [Paper presentation]. Conferencia de la Asociación Española para la Inteligencia Artificial, Santiago de Compostela 2005.
• Sánchez, M., Prats, F., Agell, N. & Ormazabal, G. (2005). Multiple-criteria evaluation for value management in civil engineering. Journal of Management in Engineering, 21 (3), pp. 131-137. DOI: https://doi.org/10.1061/ASCE0742-597X200521:3131.
• Ruiz, F., Angulo, C., Agell, N., Rovira Llobera, X., Sánchez, M. & Prats, F. (2005). A discretization process in accordance with a qualitative ordered output. Artificial Intelligence Research and Development (pp. 273-280).
• Casabayó, M., Agell, N. & Aguado, J. C. (2004). Using ai techniques in the grocery industry: Identifying the customers most likely to defect. The International Review of Retail, Distribution and Consumer Research, 14 (3), pp. 295-308. DOI: https://doi.org/10.1080/09593960410001678426.
• Agell, N., Prats Duaygues, F., Rovira Llobera, X. & Sánchez Soler, M. (2004). Kernel functions over orders of magnitude spaces by means of usual kernels. Application to measure financial credit risk. Current topics in artificial intelligence (pp. 415-424).
• Sánchez, M., Prats, F., Agell, N. & Rovira Llobera, X. (2004). Kernel functions over orders of magnitude spaces by means of usual kernels. Application to measure financial credit risk. In Conejo, R., Perez-De-La-Cruz, J. & Urretavizcaya, M. (Eds.), Lecture Notes in Computer Science including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (pp. 415-424). Springer Verlag. DOI: https://doi.org/10.1007/978-3-540-25945-9_41.
• Campos, R. G., Ruiz, F., Agell, N. & Angulo, C. (2004). Financial credit risk measurement prediction using innovative soft-computing techniques. 1st International Conference on Computational Finance and its Applications (pp. 57-66).
• Agell, N., Aguado Chao, J. C. & Casabayó, M. (2004). Using AI techniques in grocery industry: Identifying the customers most likely to defect.
• Ruiz, F., Agell, N. & Angulo, C. (2004). A kernel intersection defined on intervals. Frontiers in Artificial Intelligence and Applications, 113, pp. 103-109.
• Rovira, X., Agell, N., Sanchez, N., Prats, F. & Parra, X. (2004). Qualitative radial basis function networks applied to financial credit risk prediction. Frontiers in Artificial Intelligence and Applications, 113, pp. 111-118.
• Domingo, M., Agell, N., Aguado, J. C. & Catala, A. (2004). A qualitative reasoning approach for measuring citizens' satisfaction. Frontiers in Artificial Intelligence and Applications, 113, pp. 193-198.
• Sánchez, M., Prats, F., Agell, N. & Aguilar-Martin, J. (2004). A characterization of linearly compensated hybrid connectives used in fuzzy classifications. In De Mantaras, R. L., Saitta, L. (Ed.), ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings (pp. 1081-1082). IOS Press.
• Agell, N., Prats Duaygues, F., Rovira Llobera, X. & Sánchez Soler, M. (2003, November). Funciones kernel en espacios cualitativos de órdenes de magnitud. Aplicación a la evaluación del riesgo de crédito [Paper presentation]. 10th Conferencia de la Asociación Española de Inteligencia Artificial, San Sebastián 2003.
• Agell, N., Angulo Bahón, C., CAMPOS ESPINOZA, R. A., Rovira Llobera, X., Ruiz Vegas, F. J. & Sánchez Soler, M. (2003). Funciones núcleo en un espacio de órdenes de magnitud absolutos.
• Agell, N., Rovira, X., Sánchez -, M. V. & Prats, F. (2003). Support vector machines over a discrete structure: a kernel for qualitative orders of magnitude spaces. Frontiers in Artificial Intelligence and Applications, 100, pp. 267-275.
• Agell, N., Prats Duaygues, F., Rovira Llobera, X. & Sánchez Soler, M. (2003). Support vector machines over a discrete structure: A kernel for qualitative orders of magnitude spaces. Artificial intelligence research and development (pp. 267-275).
• Aguilar-Martin, J., Agell, N., Sánchez, M. & Prats, F. (2002). Analysis of tensions in a population based on the adequacy concept. In Teresa Escrig, M., Toledo, F. & Golobardes, E. (Eds.), Topics in Artificial Intelligence - 5th Catalonian Conference on AI, CCIA 2002, Proceedings (pp. 17-28). Springer Verlag. DOI: https://doi.org/10.1007/3-540-36079-4_2.
• Agell, N., Angulo Bahón, C., Parra Llanas, X. & Rovira Suñé, X. (2001). Aproximación a un problema financiero mediante redes neuronales con funciones base radiales y máquinas de soporte vectorial.
• Agell, N., Parra Llanas, X. & Rovira Llobera, X. (2001). Generalisation improvement of radial basis function networks based on qualitative input conditioning for financial risk prediction. Artificial neural networks - ICANN 2001 (pp. 127-134).
• Parra, X., Agell, N. & Rovira Llobera, X. (2001). Generalisation improvement of radial basis function networks based on qualitative input conditioning for financial credit risk prediction. In Hornik, K., Dorffner, G. & Bischof, H. (Eds.), Artificial Neural Networks - ICANN 2001 - International Conference, Proceedings (pp. 127-134). Springer Verlag. DOI: https://doi.org/10.1007/3-540-44668-0_18.
• Agell, N., Prats, F., Sánchez -, M. V. & Rovira, X. (1999). Qualitative transformations in orders of magnitude spaces. Esm'99 - Modelling and Simulation: a Tool for the Next Millennium, Vol Ii, pp. 409-413.
• Agell, N., Febles, F. & Piera Carreter, N. (1998). Definition and study of linear equations on order of magnitude models.
• Agell, N., Febles, F. & Piera Carreter, N. (1998). Definition and study of linear equations on order of magnitude models. Methodology and tools in knowledge-based systems (pp. 302-311).
• Agell, N., Febles, F. & Piera, N. (1998). Definition and study of lineal equations on order of magnitude models*. In Mira, J., Del Pobil, A. P. & Ali, M. (Eds.), Methodology and Tools in Knowledge-Based Systems - 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA-1998-AIE, Proceedings (pp. 302-311). Springer Verlag. DOI: https://doi.org/10.1007/3-540-64582-9_760.
• Agell, N., Aguado, J. C. & Piera, N. (1994). The Qualitative Perspective for Mobile Tracking. Modelling and Simulation, Esm 94, pp. 529-533.
• Piera, N. & Agell, N. (1992). Binary relations for qualitative reasoning. 1992 IEEE International Conference on Systems, Man, and Cybernetics (pp. 267-271). Institute of Electrical and Electronics Engineers Inc.. DOI: https://doi.org/10.1109/ICSMC.1992.271765.
• Agell, N. & Rovira, R. (1989). Symmetric difference operators for fuzzy sets. Fuzzy Sets and Systems, 30 (1), pp. 5-10. DOI: https://doi.org/10.1016/0165-01148990174-7.
• Agell, N. (1984). On concavity of t-norms and triangular functions.