title: The weakest t-norm based intuitionistic fuzzy fault-tree analysis to evaluate system reliability.
abstract: In this paper, a new approach of intuitionistic fuzzy fault-tree analysis is proposed to evaluate system reliability and to find the most critical system component that affects the system reliability. Here weakest t-norm based intuitionistic fuzzy fault tree analysis is presented to calculate fault interval of system components from integrating expert's knowledge and experience in terms of providing the possibility of failure of bottom events. It applies fault-tree analysis, α-cut of intuitionistic fuzzy set and T(ω) (the weakest t-norm) based arithmetic operations on triangular intuitionistic fuzzy sets to obtain fault interval and reliability interval of the system. This paper also modifies Tanaka et al.'s fuzzy fault-tree definition. In numerical verification, a malfunction of weapon system "automatic gun" is presented as a numerical example. The result of the proposed method is compared with the listing approaches of reliability analysis methods.
authors.affiliation: Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, India. msharmadma.iitr@gmail.com
authors.forename: Mohit
authors.initials: M
authors.lastname: Kumar
authors.forename: Shiv Prasad
authors.initials: SP
authors.lastname: Yadav
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D019544:Equipment Failure Analysis / Q000379:methods*; D017143:Fuzzy Logic; D008962:Models, Theoretical; D012371:Robotics / Q000379:methods*