Predicting Uncertain Behavior in Critical Engineering Systems Under Vague Environment
The objective of this work is to analyze the behavior of the repairable industrial system by utilizing uncertain, vague and imprecise information. The uncertainties which are present in these data are removed by using intuitionistic fuzzy set theory and then analyze the performance of the system in terms of reliability, availability and maintainability (RAM) parameters. A composite measure of RAM-parameters called RAM-Index has been used for analyzing the effect of individual components’ on the performance. The presented approach has been investigated through a case study of bleaching unit, the main part of the paper industry and computed results are compared with existing Lambda-Tau and fuzzy methodology results.
Keywords: Reliability, arithmetic operation, membership function, repairable industrial system, intuitionistic fuzzy set