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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2012-01-01
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Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2012/957697 |
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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 |
work_keys_str_mv |
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1725480401545199616 |