Back close

Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity

Publication Type : Conference Paper

Authors : Dr. Soman K. P., Misra, Krishna B.

Source : Reliability and Safety Analyses under Fuzziness, Physica-Verlag HD, Heidelberg (1995)

ISBN : 9783790818987

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Computer Science

Year : 1995

Abstract : In this paper, we propose a method of estimating top event fuzzy probability of a fault tree in case of a system consisting of multistate elements. To the best of our knowledge, no such attempt has ever been made in this direction in the past. Beta fuzzy probability vectors, as proposed by Stein [9], are used to model the joint-possibility distribution of multistate elements. The use of resolution identity keeps the computational requirement at its minimum. However, the estimation procedure is based on Zadeh's extension principle.

Cite this Research Publication : K. B. Misra and Dr. Soman K. P., “Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity”, in Reliability and Safety Analyses under Fuzziness, Heidelberg, 1995.

Admissions Apply Now