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Linguistic methods under fuzzy information in system safety and reliability analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Linguistic methods under fuzzy information in system safety and reliability analysisedited by Mohammad Yazdi.
其他作者:	Yazdi, Mohammad.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xiv, 200 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Fuzzy systems.
電子資源:	https://doi.org/10.1007/978-3-030-93352-4
ISBN:	9783030933524$q(electronic bk.)

Linguistic methods under fuzzy information in system safety and reliability analysis
Linguistic methods under fuzzy information in system safety and reliability analysis[electronic resource] /edited by Mohammad Yazdi. - Cham :Springer International Publishing :2022. - xiv, 200 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v. 4141860-0808 ;. - Studies in fuzziness and soft computing ;v.273..

Chapter 1: A brief review of using linguistic terms in system safety and reliability analysis -- Chapter 2: 2-tuple fuzzy-based linguistic term set approach to analyse the system safety and reliability -- Chapter 3: Fuzzy Bow-Tie analysis: Concepts, Review, and Application -- Chapter 4: Optimizing the allocation of risk control measures using fuzzy MCDM approach: review and application -- Chapter 5: Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions -- Chapter 6: Emergency Decision Making Fuzzy-Expert Aided Disaster Management System -- Chapter 7: Smart Decision Fuzzy-based Data Envelopment Model for Failure Modes and Effects Analysis -- Chapter 8: Introducing a probabilistic-based hybrid model (fuzzy-BWM-Bayesian network) to assess the quality index of a medical service -- Chapter 9: Fuzzy Linear Programming in system safety -- Chapter 10: Step forward on how to treat linguistic terms in judgment in failure probability estimation.

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.

ISBN: 9783030933524$q(electronic bk.)

Standard No.: 10.1007/978-3-030-93352-4doiSubjects--Topical Terms:

182084
Fuzzy systems.

LC Class. No.: QA402 / .L55 2022

Dewey Class. No.: 006.33

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505 0 $a Chapter 1: A brief review of using linguistic terms in system safety and reliability analysis -- Chapter 2: 2-tuple fuzzy-based linguistic term set approach to analyse the system safety and reliability -- Chapter 3: Fuzzy Bow-Tie analysis: Concepts, Review, and Application -- Chapter 4: Optimizing the allocation of risk control measures using fuzzy MCDM approach: review and application -- Chapter 5: Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions -- Chapter 6: Emergency Decision Making Fuzzy-Expert Aided Disaster Management System -- Chapter 7: Smart Decision Fuzzy-based Data Envelopment Model for Failure Modes and Effects Analysis -- Chapter 8: Introducing a probabilistic-based hybrid model (fuzzy-BWM-Bayesian network) to assess the quality index of a medical service -- Chapter 9: Fuzzy Linear Programming in system safety -- Chapter 10: Step forward on how to treat linguistic terms in judgment in failure probability estimation.
520 $a 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.
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