Person:
Fernández Castillo, Jesús

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First Name
Jesús
Last Name
Fernández Castillo
URI
https://hdl.handle.net/20.500.14352/76208
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Químicas
Department
Química Física
Area
Química Física
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Author: Montero, Javier × Subject: 519.8 ×

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    A Survey of Atanassov’s Intuitionistic Fuzzy Relations.
    (Fuzzy Logic and Information Fusion, 2016) Bustince, H.; Barrenechea, Edurne; Pagola, M.; Fernández Castillo, Jesús; Orduna, R.; Montero, Javier; Calvo Sanchez, Tomasa; Torrens Sastre, Joan
    In this chapter we review several properties of Atanassov’s intuitionistic fuzzy relations, recalling the main concepts related to Atanassov’s intuitionistic fuzzy relations and the main properties that can be demanded to such conepts. We also consider the use of Atanassov’s operators over such relations.
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    Paired structures in knowledge representation.
    (Knowledge-Based Systems, 2016) Montero, Javier; Bustince, H.; Franco, C.; Rodríguez, Juan Tinguaro; Gómez, Daniel; Pagola, M.; Fernández Castillo, Jesús; Barrenechea, E.
    In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can be found in fuzzy logic and multi-valued logic literature. Here it is claimed that it is the semantic relationship between two paired concepts what determines the emergence of different types of neutrality, namely indeterminacy, ambivalence and conflict, widely used under different frameworks (possibly under different names). It will be shown the potential relevance of paired structures, generated from two paired concepts together with their associated neutrality, all of them to be modeled as fuzzy sets. In this way, paired structures can be viewed as a standard basic model from which different models arise. This unifying view should therefore allow a deeper analysis of the relationships between several existing knowledge representation formalisms, providing a basis from which more expressive models can be later developed.