Resumen:
Tuning Fuzzy Logic Programs with Symbolic Execution

Fecha

2017-07-19

Editor

Sistedes

Publicado en

Actas de las XVII Jornadas de Programación y Lenguajes (PROLE 2017)

Licencia

CC BY 4.0

Resumen

Fuzzy logic programming is a growing declarative paradigm aiming to integrate fuzzy logic into logic programming. One of the most difficult tasks when specifying a fuzzy logic program is determining the right weights for each rule, as well as the most appropriate fuzzy connectives and operators. In this paper, we introduce a symbolic extension of fuzzy logic programs in which some of these parameters can be left unknown, so that the user can easily see the impact of their possible values. Furthermore, given a number of test cases, the most appropriate values for these parameters can be automatically computed.

Descripción

Acerca de Moreno, Ginés

Palabras clave

Fuzzy Logic Programming, Symbolic Execution, Tuning

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