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

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 present...

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Main Authors: Abolfazl Doostparast Torshizi, Jamshid Parvizian
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2012/957697
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spelling doaj-c8d3c9bfdd4249f7b86480ff565d5fb92020-11-24T23:50:02ZengHindawi LimitedAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/957697957697A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy NumbersAbolfazl Doostparast Torshizi0Jamshid Parvizian1Department of Industrial Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Industrial Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranWe 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.http://dx.doi.org/10.1155/2012/957697
collection DOAJ
language English
format Article
sources DOAJ
author Abolfazl Doostparast Torshizi
Jamshid Parvizian
spellingShingle Abolfazl Doostparast Torshizi
Jamshid Parvizian
A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
Advances in Fuzzy Systems
author_facet Abolfazl Doostparast Torshizi
Jamshid Parvizian
author_sort Abolfazl Doostparast Torshizi
title A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
title_short A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
title_full A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
title_fullStr A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
title_full_unstemmed A Hybrid Approach to Failure Analysis Using Stochastic Petri Nets and Ranking Generalized Fuzzy Numbers
title_sort hybrid approach to failure analysis using stochastic petri nets and ranking generalized fuzzy numbers
publisher Hindawi Limited
series Advances in Fuzzy Systems
issn 1687-7101
1687-711X
publishDate 2012-01-01
description 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.
url http://dx.doi.org/10.1155/2012/957697
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