Abstract

It is quite hard to model human thoughts because of the lack of representation them by 0-1 logic. Fuzzy logic is a continuous and boundless valued logic whose values are between 0 and 1 and can be modeled by the fuzzy set theory. On the other hand, intelligent techniques such as machine learning, soft computing, neural networks, etc. are widely used in literature in order to better modeling and analyzing complex problems. It can be easily seen in the literature that fuzzy set theory and related extensions are integrated with these intelligent techniques. This paper illustrates a review on fuzzy sets theory and its extensions and intelligent techniques.

Keywords: Fuzzy set theory; Extensions; Intelligence; Intelligent techniques