Fuzzy Reliability Theory in the Decision-Making Process

Abstract

In the process of dealing with various problems that are related to the control and management of complex systems, uncertainty is always the issue. Most of the decisions to be made by engineers and governors are subject to a lack of data that causes uncertainty. Some information is not always accessible and insufficient at the time of decision-making (DM). It is important to use the concept of a human being's expert knowledge, so developing models to estimate and imitate human decision-making systems has been becoming necessary. This chapter will critically assess the fuzzy reliability theory and systems to demonstrate how fuzzy logic represents human behavior and non-linearity. The authors created a fuzzy inference system to model two different complex systems. Fuzzy approaches to real problems in DM are effective alternatives to traditional approaches. Fuzzy integrations improve DM models in five principal features: (1) expert knowledge, (2) uncertainty handling, (3) human and government behavior modeling, (4) flexible modeling, and (5) simpler representations.