Reliability and Safety Analyses under Fuzziness

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Release : 2013-06-05
Genre : Technology & Engineering
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Book Rating : 984/5 ( reviews)

Reliability and Safety Analyses under Fuzziness - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reliability and Safety Analyses under Fuzziness write by Takehisa Onisawa. This book was released on 2013-06-05. Reliability and Safety Analyses under Fuzziness available in PDF, EPUB and Kindle. This book provides a comprehensive, up-to-date account on recent applications of fuzzy sets and possibility theory in reliability and safety analysis. Various aspects of system's reliability, quality control, reliability and safety of man-machine systems fault analysis, risk assessment and analysis, structural, seismic, safety, etc. are discussed. The book provides new tools for handling non-probabilistic aspects of uncertainty in these problems. It is the first in this field in the world literature.

Reliability and Safety Analyses Under Fuzziness

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Release : 2014-01-15
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Book Rating : 128/5 ( reviews)

Reliability and Safety Analyses Under Fuzziness - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reliability and Safety Analyses Under Fuzziness write by Takehisa Onisawa. This book was released on 2014-01-15. Reliability and Safety Analyses Under Fuzziness available in PDF, EPUB and Kindle.

Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis

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Release : 2022-03-10
Genre : Technology & Engineering
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Book Rating : 520/5 ( reviews)

Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis write by Mohammad Yazdi. This book was released on 2022-03-10. Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis available in PDF, EPUB and Kindle. This book reviews and presents a number of approaches to Fuzzy-based system safety and reliability assessment. For each proposed approach, it provides case studies demonstrating their applicability, which will enable readers to implement them into their own risk analysis process. The book begins by giving a review of using linguistic terms in system safety and reliability analysis methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the 2-tuple fuzzy-based linguistic term set approach, fuzzy bow-tie analysis, optimizing the allocation of risk control measures using fuzzy MCDM approach, fuzzy sets theory and human reliability, and emergency decision making fuzzy-expert aided disaster management system. This book will be of interest to professionals and researchers working in the field of system safety and reliability, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

Introduction to Fuzzy Reliability

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 038/5 ( reviews)

Introduction to Fuzzy Reliability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Fuzzy Reliability write by Kai-Yuan Cai. This book was released on 2012-12-06. Introduction to Fuzzy Reliability available in PDF, EPUB and Kindle. Introduction to Fuzzy Reliability treats fuzzy methodology in hardware reliability and software reliability in a relatively systematic manner. The contents of this book are organized as follows. Chapter 1 places reliability engineering in the scope of a broader area, i.e. system failure engineering. Readers will find that although this book is confined to hardware and software reliability, it may be useful for other aspects of system failure engineering, like maintenance and quality control. Chapter 2 contains the elementary knowledge of fuzzy sets and possibility spaces which are required reading for the rest of this book. This chapter is included for the overall completeness of the book, but a few points (e.g. definition of conditional possibility and existence theorem of possibility space) may be new. Chapter 3 discusses how to calculate probist system reliability when the component reliabilities are represented by fuzzy numbers, and how to analyze fault trees when probabilities of basic events are fuzzy. Chapter 4 presents the basic theory of profust reliability, whereas Chapter 5 analyzes the profust reliability behavior of a number of engineering systems. Chapters 6 and 7 are devoted to probist reliability theory from two different perspectives. Chapter 8 discusses how to model software reliability behavior by using fuzzy methodology. Chapter 9 includes a number of mathematical problems which are raised by applications of fuzzy methodology in hardware and software reliability, but may be important for fuzzy set and possibility theories.

Computational Intelligence in Reliability Engineering

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Release : 2007-01-10
Genre : Technology & Engineering
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Book Rating : 721/5 ( reviews)

Computational Intelligence in Reliability Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence in Reliability Engineering write by Gregory Levitin. This book was released on 2007-01-10. Computational Intelligence in Reliability Engineering available in PDF, EPUB and Kindle. This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.