title: A novel approach for analyzing fuzzy system reliability using different types of intuitionistic fuzzy failure rates of components.
abstract: This paper addresses the fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers. Till now, in the literature, to analyze the fuzzy system reliability, it is assumed that the failure rates of all components of a system follow the same type of fuzzy set or intuitionistic fuzzy set. However, in practical problems, such type of situation rarely occurs. Therefore, in the present paper, a new algorithm has been introduced to construct the membership function and non-membership function of fuzzy reliability of a system having components following different types of intuitionistic fuzzy failure rates. Functions of intuitionistic fuzzy numbers are calculated to construct the membership function and non-membership function of fuzzy reliability via non-linear programming techniques. Using the proposed algorithm, membership functions and non-membership functions of fuzzy reliability of a series system and a parallel systems are constructed. Our study generalizes the various works of the literature. Numerical examples are given to illustrate the proposed algorithm.
authors: Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. msharmadma.iitr@gmail.com
authors: Mohit
authors: M
authors: Kumar
authors: Shiv Prasad
authors: SP
authors: Yadav
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D004867:Equipment Design; D004868:Equipment Failure / Q000706:statistics & numerical data*; D017143:Fuzzy Logic; D015203:Reproducibility of Results