Three Dimensional Fuzzy Reliability for System Performance Evaluation

Kadhum A. Abed
{"title":"Three Dimensional Fuzzy Reliability for System Performance Evaluation","authors":"Kadhum A. Abed","doi":"10.29194/njes.25020081","DOIUrl":null,"url":null,"abstract":"The research proposed a developed methodology for evaluation the system performance in uncertainty associated with traditional modelling methodology is focused on either load L or resistance R variability, but not both. A two-dimensional (2D) fuzzy set (traditional model), represent with the one dimension for universe of discourse (in x-direction) and the second dimension of his membership degree (in y-direction), is not full sufficient to handle both, load and resistance variation of system performance. The theoretical principle basis of this research is based on development of the three dimensional (3D) of fuzzy set that includes system performance variability in load and resistance from two dimensional. The proposed methodology (traditional model) extends the acceptance level of partial performance of system concept to a 3D-dimantion representation. This representation allows to capturing the changing of preferences of decision makers in load and resistance. The major objective of the research is to proposed the original methodology for evaluate system performance and management that is capable of; (a) addressing uncertainty caused by load and resistance variability and ambiguity; (b) integrating objective and subjective evaluation; and (c) assisting system performance management decision making based on a more detailed certainty evaluation of load and resistance variability.\nThe study proposed two models for fuzzy reliability performance indexes: first traditional model included (I) 2D fuzzy reliability-vulnerability Rv index, (II) 2D fuzzy robustness Ro index; the second developed model (i) 3D fuzzy reliability-vulnerability Rv index, (ii)  3D fuzzy robustness Ro index; and comparing between them. These indexes have the capability of evaluating the operational performance of complex systems. Proposed methodology is illustrated by using the Al-Wathba Water Supply System (WWSS) as a case study.","PeriodicalId":7470,"journal":{"name":"Al-Nahrain Journal for Engineering Sciences","volume":"62 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Al-Nahrain Journal for Engineering Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29194/njes.25020081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The research proposed a developed methodology for evaluation the system performance in uncertainty associated with traditional modelling methodology is focused on either load L or resistance R variability, but not both. A two-dimensional (2D) fuzzy set (traditional model), represent with the one dimension for universe of discourse (in x-direction) and the second dimension of his membership degree (in y-direction), is not full sufficient to handle both, load and resistance variation of system performance. The theoretical principle basis of this research is based on development of the three dimensional (3D) of fuzzy set that includes system performance variability in load and resistance from two dimensional. The proposed methodology (traditional model) extends the acceptance level of partial performance of system concept to a 3D-dimantion representation. This representation allows to capturing the changing of preferences of decision makers in load and resistance. The major objective of the research is to proposed the original methodology for evaluate system performance and management that is capable of; (a) addressing uncertainty caused by load and resistance variability and ambiguity; (b) integrating objective and subjective evaluation; and (c) assisting system performance management decision making based on a more detailed certainty evaluation of load and resistance variability. The study proposed two models for fuzzy reliability performance indexes: first traditional model included (I) 2D fuzzy reliability-vulnerability Rv index, (II) 2D fuzzy robustness Ro index; the second developed model (i) 3D fuzzy reliability-vulnerability Rv index, (ii)  3D fuzzy robustness Ro index; and comparing between them. These indexes have the capability of evaluating the operational performance of complex systems. Proposed methodology is illustrated by using the Al-Wathba Water Supply System (WWSS) as a case study.
系统性能评价的三维模糊可靠性
该研究提出了一种开发的方法来评估系统在不确定性下的性能,传统的建模方法只关注负载L或电阻R的变化,而不是两者都关注。一个二维(2D)模糊集(传统模型),用一个维度的话语域(x方向)和一个维度的隶属度(y方向)来表示,不足以同时处理系统性能的负载和阻力变化。本研究的理论原理基础是基于三维(3D)模糊集的发展,该模糊集包括系统性能在二维的负载和阻力变化。提出的方法(传统模型)将系统概念的部分性能的可接受程度扩展到三维表示。这种表示允许捕捉决策者在负载和阻力方面的偏好变化。研究的主要目的是提出评估系统性能和管理的原始方法,该方法能够;(a)处理由负荷和阻力可变性和模糊性引起的不确定性;(b)客观评价与主观评价相结合;(c)基于对负载和阻力可变性的更详细的确定性评估,协助系统性能管理决策。研究提出了两种模糊可靠性性能指标模型:第一种传统模型包括(I)二维模糊可靠性-易损性Rv指标,(II)二维模糊稳健性Ro指标;建立了三维模糊可靠性-脆弱性Rv指数、三维模糊稳健性Ro指数;在它们之间进行比较。这些指标具有评价复杂系统运行性能的能力。以Al-Wathba供水系统(WWSS)为例,说明了所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信