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Titlebook: Introduction to Fuzzy Reliability; Kai-Yuan Cai Book 1996 Kluwer Academic Publishers 1996 algorithms.behavior.control.fuzzy.fuzzy methods.

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發(fā)表于 2025-3-21 19:38:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Fuzzy Reliability
編輯Kai-Yuan Cai
視頻videohttp://file.papertrans.cn/474/473722/473722.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Introduction to Fuzzy Reliability;  Kai-Yuan Cai Book 1996 Kluwer Academic Publishers 1996 algorithms.behavior.control.fuzzy.fuzzy methods.
描述.Introduction to Fuzzy Reliability. treats fuzzymethodology in hardware reliability and software reliability in arelatively systematic manner. The contents of this book are organizedas follows. Chapter 1 places reliability engineering in the scope of abroader area, i.e. system failure engineering. Readers will find thatalthough this book is confined to hardware and software reliability,it may be useful for other aspects of system failure engineering, likemaintenance and quality control. Chapter 2 contains the elementaryknowledge of fuzzy sets and possibility spaces which are requiredreading for the rest of this book. This chapter is included for theoverall completeness of the book, but a few points (e.g. definition ofconditional possibility and existence theorem of possibility space)may be new. Chapter 3 discusses how to calculate .probist. systemreliability when the component reliabilities are represented by fuzzynumbers, and how to analyze fault trees when probabilities of basicevents are fuzzy. Chapter 4 presents the basic theory of .profust.reliability, whereas Chapter 5 analyzes the .profust. reliabilitybehavior of a number of engineering systems. Chapters 6 and 7 aredevoted t
出版日期Book 1996
關(guān)鍵詞algorithms; behavior; control; fuzzy; fuzzy methods; fuzzy sets; knowledge; modeling; software
版次1
doihttps://doi.org/10.1007/978-1-4613-1403-5
isbn_softcover978-1-4612-8608-0
isbn_ebook978-1-4613-1403-5Series ISSN 0893-3405
issn_series 0893-3405
copyrightKluwer Academic Publishers 1996
The information of publication is updating

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Profust Reliability Behavior of Engineering Systems,es should be determined in the context of the total light output rather than the number of functioning lamps directly, though some relation may exist between them. Then what is the system state, functioning or failed, if there are two failed lamps and . - 2 functioning lamps in the system? And what
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Fuzzy Methods in Software Reliability Modeling, Bayesian methodology; fuzzy methodology; neural network methodology; non-parametric methodology; and others. In this section we introduce a fuzzy software reliability growth model which is applicable to software testing phase in which software reliability normally demonstrates growth trends [4].
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Introduction,ical area comprising all failure oriented or failure driven aspects. So, it may encompass reliability, safety, security, and so on. If everything went well and met desired requirements, then there would be no dissatisfaction, no failure, and therefore there would be no system failure engineering. Un
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Fuzzy Methods in Software Reliability Modeling,y software inputs and lead to faulty software states and eventually result in software failures. This arouses software reliability problems. Software reliability modeling is aimed at using mathematical tools to deal with software reliability problems. By continuous-time software reliability modeling
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0893-3405 r. The contents of this book are organizedas follows. Chapter 1 places reliability engineering in the scope of abroader area, i.e. system failure engineering. Readers will find thatalthough this book is confined to hardware and software reliability,it may be useful for other aspects of system failur
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