Linguistic Methods Under Fuzzy Information In System Safety And Reliability Analysis

Author : Mohammad Yazdi
Publisher : Springer Nature
ISBN 13 : 3030933520
Total Pages : 210 pages
Book Rating : 4.24/5 ( download)

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Download or read book Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis written by Mohammad Yazdi and published by Springer Nature. This book was released on 2022-03-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mohammad Yazdi
Publisher : Springer
ISBN 13 : 9783030933517
Total Pages : 198 pages
Book Rating : 4.12/5 ( download)

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Download or read book Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis written by Mohammad Yazdi and published by Springer. This book was released on 2022-03-17 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : He Li
Publisher : Springer Nature
ISBN 13 : 3031074300
Total Pages : 196 pages
Book Rating : 4.01/5 ( download)

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Download or read book Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems written by He Li and published by Springer Nature. This book was released on 2022-07-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications. The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory. This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.

Author : Harish Garg
Publisher : Springer Nature
ISBN 13 : 9811999090
Total Pages : 415 pages
Book Rating : 4.93/5 ( download)

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Download or read book Advances in Reliability, Failure and Risk Analysis written by Harish Garg and published by Springer Nature. This book was released on 2023-04-08 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects select chapters on modern industrial problems related to uncertainties and vagueness in the expert domain of knowledge. The book further provides the knowledge related to application of various mathematical and statistical tools in these areas. The results presented in the book help the researchers and scientists in handling complicated projects in their domains. Useful to industrialists, academicians, researchers and students alike, the book aims to help managers and technical specialists in designing and implementation of reliability and risk programs as below: Ensure the system safety and risk informed asset management Follow a proper strategy to maintain the mechanical components of the system Schedule the proper actions throughout the product life cycle Understand the structure and cost of a complex system Plan the proper schedule to improve the reliability and life of the system Identify unwanted failures and set up preventive and correction action

Author : Mohammad Yazdi
Publisher : Springer Nature
ISBN 13 : 3031535146
Total Pages : 201 pages
Book Rating : 4.47/5 ( download)

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Download or read book Advances in Computational Mathematics for Industrial System Reliability and Maintainability written by Mohammad Yazdi and published by Springer Nature. This book was released on with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Mohammad Yazdi
Publisher : Springer Nature
ISBN 13 : 3031517199
Total Pages : 274 pages
Book Rating : 4.98/5 ( download)

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Download or read book Progressive Decision-Making Tools and Applications in Project and Operation Management written by Mohammad Yazdi and published by Springer Nature. This book was released on with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Jafar Rezaei
Publisher : Springer Nature
ISBN 13 : 3031248163
Total Pages : 185 pages
Book Rating : 4.60/5 ( download)

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Download or read book Advances in Best-Worst Method written by Jafar Rezaei and published by Springer Nature. This book was released on 2023-01-31 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the theory and application of the Best-Worst Method (BWM). It includes selected papers from the Third International Workshop on Best-Worst Method (BWM2022), held in Delft, the Netherlands, from 9 to 10 June 2022. The book provides valuable insights on why and how to use BWM in a diverse range of applications including health, energy, supply chain management, and engineering. Moreover, it highlights the use of BWM in different settings including individual decision-making vs group decision-making, and with complete information vs incomplete and uncertain information. Academics and practitioners whose work involves multi-criteria decision-making and decision analysis will particularly benefit from the papers gathered here.

Author : Kapil Joshi
Publisher : John Wiley & Sons
ISBN 13 : 1394197683
Total Pages : 340 pages
Book Rating : 4.82/5 ( download)

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Download or read book Human Cancer Diagnosis and Detection Using Exascale Computing written by Kapil Joshi and published by John Wiley & Sons. This book was released on 2024-02-21 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Cancer Diagnosis and Detection Using Exascale Computing The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful.

Author : Kai-Yuan Cai
Publisher : Springer Science & Business Media
ISBN 13 : 1461314038
Total Pages : 322 pages
Book Rating : 4.35/5 ( download)

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Download or read book Introduction to Fuzzy Reliability written by Kai-Yuan Cai and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Gregory Levitin
Publisher : Springer Science & Business Media
ISBN 13 : 3540373713
Total Pages : 428 pages
Book Rating : 4.11/5 ( download)

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Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer Science & Business Media. This book was released on 2006-10-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.