A Review on Fuzzy Logic-ITS Application and Methodology

Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. Fuzzy logic seems closer to the way our brains work. We aggregate data and form a number of partial truths which we aggregate further into higher truths which in turn, exceeds certain thresholds and cause certain further results such as motor reaction. A similar kind of process is used in artificial computer neural network and expert systems. It may help to see fuzzy logic as the way reasoning really works and binary or Boolean logic is simply a special case of it. Fuzzy logic is a rule-based decision process that seeks to solve problems where the system is difficult to model and where ambiguity or vagueness is abundant between two extremes. The fuzzy rules relate the input variables to the output variables via the subsets. Given a set of fuzzy rules, the system can compensate quickly and efficiently. Though the Western world did not initially accept fuzzy logic and fuzzy ideas, today fuzzy logic is applied in many systems. In this paper, the steps of how to create a fuzzy system are described as well as the description of how the fuzzy system works.