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Component Importance Measure Computation Method Based Fuzzy Integral with Its Application
Joint Authors
Wang, Yanhui
Lin, Shuai
Jia, Limin
Li, Yang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-17
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In view of the negative impact of component importance measures based on system reliability theory and centrality measures based on complex networks theory, there is an attempt to provide improved centrality measures (ICMs) construction method with fuzzy integral for measuring the importance of components in electromechanical systems in this paper.
ICMs are the meaningful extension of centrality measures and component importance measures, which consider influences on function and topology between components to increase importance measures usefulness.
Our work makes two important contributions.
First, we propose a novel integration method of component importance measures to define ICMs based on Choquet integral.
Second, a meaningful fuzzy integral is first brought into the construction comprehensive measure by fusion multi-ICMs and then identification of important components which could give consideration to the function of components and topological structure of the whole system.
In addition, the construction method of ICMs and comprehensive measure by integration multi-CIMs based on fuzzy integral are illustrated with a holistic topological network of bogie system that consists of 35 components.
American Psychological Association (APA)
Lin, Shuai& Wang, Yanhui& Jia, Limin& Li, Yang. 2017. Component Importance Measure Computation Method Based Fuzzy Integral with Its Application. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1151749
Modern Language Association (MLA)
Lin, Shuai…[et al.]. Component Importance Measure Computation Method Based Fuzzy Integral with Its Application. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1151749
American Medical Association (AMA)
Lin, Shuai& Wang, Yanhui& Jia, Limin& Li, Yang. Component Importance Measure Computation Method Based Fuzzy Integral with Its Application. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1151749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151749