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Advances in Fuzzy Systems
Volume 2012 (2012), Article ID 957697, 12 pages
Research Article

A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers

Department of Industrial Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran

Received 25 April 2012; Accepted 4 September 2012

Academic Editor: Zeng-Guang Hou

Copyright © 2012 Abolfazl Doostparast Torshizi and Jamshid Parvizian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We present a novel failure analysis approach combining structural properties of stochastic Petri Nets and flexibility of fuzzy logic. Firstly, we develop a powerful fuzzy ranking technique. We analyze major drawbacks of existing ranking techniques. Then we demonstrate the capabilities of the presented algorithm to overcome such drawbacks. The approach considers weight, spread, and difference of coordinate of the center of gravity (COG) point of each fuzzy number and is able to deal with a wide variety of fuzzy numbers. Using this technique, we utilize isomorphism between stochastic Petri Nets and their corresponding Markov chains and present a failure analysis algorithm incorporating some critical factors. This algorithm can be implemented in diverse industrial applications.