Developmental Studies for a Fuzzy Rule based System for Various Engineering Applications

  • Kalyani N Kulkarni, Ravindra K Lad

Abstract

Fuzzy rule-based systems are rule-based systems that employ fuzzy sets and fuzzy logic to describe various types of information about the problem at hand, as well as to simulate the interactions and relationships that exist between its variables. The fuzzy logic relies on rules to generate the fuzzy output. The rule-based system differs from expert systems in that the rules that make up the rule-based system are derived from sources other than human experts, making it distinct from expert systems. Fuzzy rules are linguistic IF-THEN structures with the general form "IF A THEN B," where A and B are (groups of) propositions with linguistic variables. The rule's premise is A, and the rule's consequence is B. A fuzzy rule-based system is made up of several rules. Classical set theory differs from fuzzy set theory in that the latter allows for partial set membership. A classical or crisp set, on the other hand, is a fuzzy set whose membership values are limited to 0 and 1, the unit interval's endpoints. It has been modelled and applied to a range of technical domains over a period of more than 50 years since the concept of "Fuzzy Logic" and "Fuzzy Rule based System" was created. Particularly useful in circumstances when there are high levels of uncertainty and ambiguity in the behaviour of the variables under investigation. This research attempts to investigate the development and use of Fuzzy Rule Based Systems in a variety of engineering applications.

Published
2021-11-15
How to Cite
Kalyani N Kulkarni, Ravindra K Lad. (2021). Developmental Studies for a Fuzzy Rule based System for Various Engineering Applications. Design Engineering, 12409 - 12412. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/6323
Section
Articles