Similarity Reasoning-driven Evolutionary Fuzzy System for Monotonic-preserving Models

Similarity Reasoning-driven Evolutionary Fuzzy System for Monotonic-preserving Models

Auteur : Tze Ling Jee

Date de publication : 2013

Éditeur : Universiti Malaysia Sarawak

Nombre de pages : 162

Résumé du livre

Fuzzy Inference System (FIS) is a popular computing paradigm which has been identified as a solution for various application domains, e.g. control, assessment, decision making, and approximation. However, it suffers from two major shortcomings, i.e., the "curse of dimensionality" and the "tomato classification" problem. The former suggests that the number of fuzzy rules increases in an exponential manner while the number of input increases. The later is an important fuzzy reasoning problem while a fuzzy rule base is incomplete.

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