Improving The Fuzzy Distribution For Reliability Calculations Based On First-Class Fuzzy Sets Using Intuitionistic Fuzzy Sets

Abstract

Intuitionistic Fuzzy Sets is an advanced artificial intelligence technique used in many engineering fields, including reliability. It is a development of the classical fuzzy sets theory of the first type (Fuzzy Sets). Artificial intelligence techniques have proven in the field of reliability research their ability to obtain greater accuracy in calculations at a lower cost in terms of time and effort. Hence, as a development of traditional reliability research, which mostly relied on traditional probability distributions, we used fuzzy sets and intuitionistic fuzzy sets to develop a fuzzy reliability calculation model. We compared the overall reliability of a previously studied communications system according to the Weibull statistical distribution with the results of the classical fuzzy distribution as well as the new intuitionistic fuzzy distribution, and compared the three results (Weibull, fuzzy distribution, intuitionistic fuzzy distribution). After the comparison, the results were studied, the positives were shown, and proposals were presented.