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Torra V.  2009.  On the Definition of Linear Constrained Fuzzy c-Means. Proc. of the EUROFUSE 2009. :61-66.
Torra V.  2010.  Privacy in Data Mining. Data Mining and Knowledge Discovery Handbook. :687-716.
Torra V.  2008.  Defining A-IFS from negations. Developments in Fuzzy sets, Intuitionistic Fuzzy sets, Generalized Nets and related topics. Foundations. :337-345.
Torra V, Miyamoto S.  2006.  On the Use of Variable-Size Fuzzy Clustering for Classification. Lecture Notes in Computer Science. 3885:362-371.
Torra V, Godo L.  2002.  Continuous WOWA Operators with Application to Defuzzification. Studies in Fuzziness and Soft Computing. Vol.97. Agregation Operators.. :159-176.
Torra V, Miyamoto S.  2004.  Evaluating fuzzy clustering algorithms for microdata protection. Lecture notes in computer science. 3050:175-182.
Torra V, Min J-H.  2010.  I-Fuzzy Partitions for Representing Clustering Uncertainties. ICAISC 2010. 6113:240-247.
Torra V, Narukawa Y.  2006.  The interpretation of fuzzy integrals and their application to fuzzy systems. International journal of approximate reasoning. 41:43-59.
Torra V.  2008.  Measuring Simultaneous Belongingness for sets of objects. Int. J. of Intelligent Systems. 23:446-454.
Torra V.  2001.  Agregació d'informació en mineria de dades : l'ús de les mitjanes quasi-ponderades.
Torra V, Miyamoto S, Lanau S.  2005.  Exploration of textual databases using a fuzzy hiercarchical clustering algorithm in the GAMBAL system. Information processing and management. 41:587-598.
Torra V.  2001.  Empirical analysis to determine Weighted OWA orness. FUSION 2001 : Proceedings of the Fourth International Confeence on Information Fusion. II:11-16.
Torra V, Narukawa Y, Miyamoto S.  2005.  Modeling Decisions for Artificial Intelligence: Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005. Proceedings.
Torra V, Ladra S.  2008.  Cluster-specific information loss measures in data privacy: a review. Proc. ARES 2008, PSAI Workshop. :994-999.
Torra V.  2010.  Learning aggregation operators for preference modeling. Preference Learning. :317-333.
Torra V.  2005.  Categorizacion y visualizacion con GAMBAL. Recuperacion de informacion textual: aspectos logicos y ecologicos. :87-93.
Torra V.  2005.  Fuzzy c-means for fuzzy hierarchical clustering. FUZZ-IEEE 2005, Reno, Nevada on May 22-25, 2005,. :646-651.
Torra V.  2008.  Constrained Microaggregation: Adding Constraints for Data Editing. Transactions on Data Privacy. 1:86-104.
Torra V, Narukawa Y.  2010.  Soft Computing in Decision Modeling. Soft Computing. 14:419-420.
Torra V, Ng M.  2002.  Towards the construction of regression models for categorical variables. Proc. of the 9th Int. Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2002. II:1143-1148.
Torra V, Navarro-Arribas G, Abril D.  2010.  On the Applications of Aggregation Operators in Data Privacy. 68
Torra V, Miyamoto S.  2002.  Hierarchical Spherical Clustering. Int. J. of Uncertainty Fuzziness and Knowledge-Based Systems. 10:157-172.
Torra V, Domingo-Ferrer J, Sanz JMMateo i, Ng M.  2006.  Regression for ordinal variables without underlying continuous variables. Information sciences. 176:465-474.
Thiruvady D, Blum C, Ernst AT.  2019.  Maximising the Net Present Value of Project Schedules Using CMSA and Parallel ACO. International Workshop on Hybrid Metaheuristics (HM 2019). LNCS 11299:16-30.
Teze JC, Perello-Moragues A, Godo L, Noriega P.  2019.  Practical reasoning using values: an argumentative approach based on a hierarchy of values. Annals of Mathematics and Artificial Intelligence.
Tanveer W., Martínez-Enriquez AMaría, Escalada-Imaz G, Muhammad A..  2010.  Sensing WithSense - An Intelligent Interface for participatory sensing. Fifth International Conference on Software ENgineering Advances, ICSEA 2010. :400-405.