A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization

A novel constraints model of credibility-fuzzy for the reliability redundancy allocation problem (RRAP) is studied in this work. The RRAP that must simultaneously decide reliability and redundancy of components is an effective approach in improving the system reliability. In practice various systems...

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Autores principales:	Hota Chia-Sheng Lin, Chia-Ling Huang, Wei-Chang Yeh
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	reliability redundancy allocation problem (RRAP) credibility-fuzzy theory simplified swarm optimization (SSO) algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/d16a5e17c7254fdda0c2897089b97071
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id	oai:doaj.org-article:d16a5e17c7254fdda0c2897089b97071
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spelling	oai:doaj.org-article:d16a5e17c7254fdda0c2897089b970712021-11-25T16:37:35ZA Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization10.3390/app1122107652076-3417https://doaj.org/article/d16a5e17c7254fdda0c2897089b970712021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10765https://doaj.org/toc/2076-3417A novel constraints model of credibility-fuzzy for the reliability redundancy allocation problem (RRAP) is studied in this work. The RRAP that must simultaneously decide reliability and redundancy of components is an effective approach in improving the system reliability. In practice various systems, the uncertainty condition of components used in the systems, which few studies have noticed this state over the years, is a concrete fact due to several reasons such as production conditions, different batches of raw materials, time reasons, and climatic factors. Therefore, this study adopts the fuzzy theory and credibility theory to solve the components uncertainty in the constraints of RRAP including cost, weight, and volume. Moreover, the simplified swarm optimization (SSO) algorithm has been adopted to solve the fuzzy constraints of RRAP. The effectiveness and performance of SSO algorithm have been experimented by four famous benchmarks of RRAP.Hota Chia-Sheng LinChia-Ling HuangWei-Chang YehMDPI AGarticlereliability redundancy allocation problem (RRAP)credibility-fuzzy theorysimplified swarm optimization (SSO) algorithmTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10765, p 10765 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	reliability redundancy allocation problem (RRAP) credibility-fuzzy theory simplified swarm optimization (SSO) algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	reliability redundancy allocation problem (RRAP) credibility-fuzzy theory simplified swarm optimization (SSO) algorithm Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Hota Chia-Sheng Lin Chia-Ling Huang Wei-Chang Yeh A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
description	A novel constraints model of credibility-fuzzy for the reliability redundancy allocation problem (RRAP) is studied in this work. The RRAP that must simultaneously decide reliability and redundancy of components is an effective approach in improving the system reliability. In practice various systems, the uncertainty condition of components used in the systems, which few studies have noticed this state over the years, is a concrete fact due to several reasons such as production conditions, different batches of raw materials, time reasons, and climatic factors. Therefore, this study adopts the fuzzy theory and credibility theory to solve the components uncertainty in the constraints of RRAP including cost, weight, and volume. Moreover, the simplified swarm optimization (SSO) algorithm has been adopted to solve the fuzzy constraints of RRAP. The effectiveness and performance of SSO algorithm have been experimented by four famous benchmarks of RRAP.
format	article
author	Hota Chia-Sheng Lin Chia-Ling Huang Wei-Chang Yeh
author_facet	Hota Chia-Sheng Lin Chia-Ling Huang Wei-Chang Yeh
author_sort	Hota Chia-Sheng Lin
title	A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
title_short	A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
title_full	A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
title_fullStr	A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
title_full_unstemmed	A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization
title_sort	novel constraints model of credibility-fuzzy for reliability redundancy allocation problem by simplified swarm optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d16a5e17c7254fdda0c2897089b97071
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A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization

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