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020 _a9783030933524
024 7 _a10.1007/978-3-030-93352-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA402
_b2022 EB
245 0 0 _aLinguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis
_cedited by Mohammad Yazdi
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIV, 200 páginas)
_b36 ilustraciones, 30 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Fuzziness and Soft Computing
_x1860-0808
_v414
505 0 _aChapter 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 _aThis 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9138446
_aAnálisis de sistemas
650 7 _2embne
_9152595
_aSistemas difusos
700 1 _aYazdi, Mohammad
_eeditor literario
_0(orcid)0000-0002-6714-5285
_1https://orcid.org/0000-0002-6714-5285
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030933517
776 0 8 _iPrinted edition:
_z9783030933531
776 0 8 _iPrinted edition:
_z9783030933548
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93352-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2022
_dz
_eIG
_zSI