Browsing by Author "Herrera, F."
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Item Metadata only Additive consistency as a tool to solve group decision making problems(2004) Chiclana, Francisco; Alonso, S.; Herrera, F.; Herrera-Viedma, EnriqueItem Metadata only Additive consistency of fuzzy preference relations: characterization and construction.(2003) Herrera, F.; Herrera-Viedma, Enrique; Chiclana, FranciscoItem Metadata only An approach to consensus reaching in multiperson decision making problems with incomplete information(2005) Alonso, S.; Herrera-Viedma, Enrique; Chiclana, Francisco; Herrera, F.Item Metadata only Cardinal consistency of reciprocal preference relations: a characterization of multiplicative transitivity.(2009) Chiclana, Francisco; Herrera-Viedma, Enrique; Alonso, S.; Herrera, F.Item Metadata only A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority.(1996) Chiclana, Francisco; Herrera, F.; Herrera-Viedma, Enrique; Poyatos, M. C.Item Metadata only Computing with words in decision making: Foundations, trends and prospects.(Springer, 2009) Herrera, F.; Herrera-Viedma, Enrique; Alonso, S.; Chiclana, FranciscoItem Metadata only A consensus model for group decision making with incomplete fuzzy preference relations(IEEE, 2007-10-01) Chiclana, Francisco; Alonso, S.; Herrera, F.; Herrera-Viedma, EnriqueItem Metadata only A consensus model for multiperson decision making with different preference structures.(IEEE, 2002-05-01) Chiclana, Francisco; Herrera, F.; Herrera-Viedma, EnriqueItem Metadata only Consistency of reciprocal fuzzy preference relations(2007) Alonso, S.; Chiclana, Francisco; Herrera-Viedma, Enrique; Herrera, F.Item Metadata only Consistency of reciprocal preference relations.(2007) Chiclana, Francisco; Herrera-Viedma, Enrique; Alonso, S.; Herrera, F.Item Metadata only Consistency properties for preference relations: T-additive and T-multiplicative transitivity(2004) Chiclana, Francisco; Herrera-Viedma, Enrique; Herrera, F.Item Metadata only Construction of consistent fuzzy preference relations using uninorms.(2008) Chiclana, Francisco; Alonso, S.; Herrera-Viedma, Enrique; Herrera, F.Item Metadata only Dealing with ignorance problems in decision making under fuzzy preference relations.(2006) Alonso, S.; Herrera-Viedma, Enrique; Herrera, F.; Chiclana, FranciscoItem Metadata only A decision aid system to provide consistent linguistic preference relations.(2006) Alonso, S.; Herrera-Viedma, Enrique; Chiclana, Francisco; Herrera, F.; Cabrerizo, F. J.Item Metadata only Evolutionary Fuzzy K-Nearest Neighbors Algorithm using Interval-Valued Fuzzy Sets(Elsevier, 2016-02) Derrac, Joaquin; Chiclana, Francisco; Garcia, Salvador; Herrera, F.One of the most known and effective methods in supervised classification is the k-nearest neighbors classifier. Several approaches have been proposed to enhance its precision, with the fuzzy k-nearest neighbors (fuzzy-kNN) classifier being among the most successful ones. However, despite its good behavior, fuzzy-kNN lacks of a method for properly defining several mechanisms regarding the representation of the relationship between the instances and the classes of the classification problems. Such a method would be very desirable, since it would potentially lead to an improvement in the precision of the classifier. In this work we present a new approach, evolutionary fuzzy k-nearest neighbors classifier using interval-valued fuzzy sets (EF-kNN-IVFS), incorporating interval-valued fuzzy sets for computing the memberships of training instances in fuzzy-kNN. It is based on the representation of multiple choices of two key parameters of fuzzy-kNN: one is applied in the definition of the membership function, and the other is used in the computation of the voting rule. Besides, evolutionary search techniques are incorporated to the model as a self-optimization procedure for setting up these parameters. An experimental study has been carried out to assess the capabilities of our approach. The study has been validated by using nonparametric statistical tests, and remarks the strong performance of EF-kNN-IVFS compared with several state of the art techniques in fuzzy nearest neighbor classification.Item Metadata only A feedback process to model consensus in multiperson decision making with different preference representation.(2000) Herrera-Viedma, Enrique; Herrera, F.; Chiclana, FranciscoItem Metadata only Fusion of multigranular linguistic information based on the 2-tuple fuzzy linguistic representation model(2002) Herrera, F.; Martinez, L.; Herrera-Viedma, Enrique; Chiclana, FranciscoItem Metadata only A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets(IEEE, 2008-04) Herrera, F.; Herrera-Viedma, Enrique; Martinez, L.Many real problems dealing with qualitative aspects use linguistic approaches to assess such aspects. In most of these problems, a uniform and symmetrical distribution of the linguistic term sets for linguistic modeling is assumed. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets that are not uniformly and symmetrically distributed. The use of linguistic variables implies processes of computing with words (CW). Different computational approaches can be found in the literature to accomplish those processes. The 2-tuple fuzzy linguistic representation introduces a computational model that allows the possibility of dealing with linguistic terms in a precise way whenever the linguistic term set is uniformly and symmetrically distributed. In this paper, we present a fuzzy linguistic methodology in order to deal with unbalanced linguistic term sets. To do so, we first develop a representation model for unbalanced linguistic information that uses the concept of linguistic hierarchy as representation basis and afterwards an unbalanced linguistic computational model that uses the 2-tuple fuzzy linguistic computational model to accomplish processes of CW with unbalanced term sets in a precise way and without loss of information.Item Metadata only A general procedure to estimate missing values for incomplete fuzzy preference relations(2006) Alonso, S.; Herrera-Viedma, Enrique; Herrera, F.; Chiclana, FranciscoItem Metadata only Group decision making with incomplete information.(Copicentro Granada S.L., 2005) Alonso, S.; Chiclana, Francisco; Herrera, F.; Herrera-Viedma, Enrique
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