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Abstract—To evaluate premises, consequences and hypotheses, on this paper relevance and support ratios are defined for each of them. This allows to distinguish consequences based on the number of premises that support them, and also to... more
Abstract—To evaluate premises, consequences and hypotheses, on this paper relevance and support ratios are defined for each of them. This allows to distinguish consequences based on the number of premises that support them, and also to reduce the set of premises while maintaining the same consequences. Since the relation between premises and hypotheses is, in some sense, similar to the relation between consequences and premises, analogous ratios are defined for hypotheses and premises.
Abstract Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addition to represent imprecise concepts, they are able to represent the imprecision in the membership function of fuzzy sets. Their use is... more
Abstract Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addition to represent imprecise concepts, they are able to represent the imprecision in the membership function of fuzzy sets. Their use is particularly appropriate when modelling linguistic concepts such as words that mean slightly different things to different people. However, type-2 fuzzy sets do not place any constraints upon the continuity and other properties of their embedded sets.
Abstract. We present a definition of a Fuzzy Prolog Language that models interval-valued Fuzzy logic, and subsumes other fuzzy prologs. We give the declarative and procedural semantics for fuzzy logic programs. In addition, we give an... more
Abstract. We present a definition of a Fuzzy Prolog Language that models interval-valued Fuzzy logic, and subsumes other fuzzy prologs. We give the declarative and procedural semantics for fuzzy logic programs. In addition, we give an implementation of an interpreter for this language made using CLP (Z). We have incorporated uncertainty into a Prolog system in a simple way thanks to this constrains system. The implementation is based on syntactic expansion of the source code running on Prolog.
Abstract This project intends to anticipate Scientific and Technological needs in the area of Soft Computing (SC). Its purpose is both, to research about the viability of putting Computing with Words and Perceptions (CWP) into practice,... more
Abstract This project intends to anticipate Scientific and Technological needs in the area of Soft Computing (SC). Its purpose is both, to research about the viability of putting Computing with Words and Perceptions (CWP) into practice, and to establish a methodology for its application. All of that will have as a starting point the use of techniques of SC and especially the adaptation and elaboration of procedures concerning to fuzzy logic.
This paper contains some na��ve reflections on the currently large field of Soft Computing. After some general considerations, and of recalling some successful well known examples, it is posed the relationship between Soft Computing and... more
This paper contains some na��ve reflections on the currently large field of Soft Computing. After some general considerations, and of recalling some successful well known examples, it is posed the relationship between Soft Computing and Machine Intelligence. Finally, and with the aim of taking into account the appropriateness of Soft Computing to face the challenge of Computing with Words, some aspects of the semantical analysis of complex texts are considered.