A Survey in Fuzzy Logic: An Introduction

Fuzzy Logic was initiated in 1965 [1], [2], [3], by Lotfi A. Zadeh professor for computer science at the University of California in Berkeley. A fuzzy set is defined by a function that maps objects in a domain of concern to the membership value in the set. Fuzzy Logic provides a different way to approach a control or classification problem. Basically, Fuzzy Logic (FL) is a multivalve logic that allows intermediate values to be defined between conventional evaluations like true/false, yes/no, high/low, etc. Notions like rather tall or very fast can be formulated mathematically and processed by computers, in order to apply a more human-like way of thinking in the programming of computers [4]. Fuzzy Logic has emerged as a a profitable tool for the controlling and steering of of systems and complex industrial processes, as well as for household and entertainment electronics, as well as for other expert systems and applications like the classification of SAR data. By studying all its tools and application areas we concluded that even after getting so much criticism in its initial stage now FUZZY LOGIC is a new emerging technology with very bright future, which is further expanding its area of application. Its operation field is so much wide that it can be applied to control any type of operation even to control our daily life appliances and instruments. In it there is no need to do so much calculations and operations and also its results are so much accurate that they can be applied directly to a given task. Success of fuzzy logic in a wide range of applications has inspired much interest in fuzzy logic among the scientists and engineers. Fuzzy Logic provides a more efficient and resourceful way to solve Control Systems.