Advancements in fuzzy reliability theory:

In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as...

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Other Authors: Kumar, Akshay (Editor), Ram, Mangey 1980- (Editor), Yadav, Om Prakash (Editor)
Format: Electronic eBook
Language:English
Published: Hershey PA, USA IGI Global, Publisher of Timely Knowledge [2021]
Series:A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
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Online Access:DE-1050
DE-573
DE-898
DE-1049
DE-91
DE-706
DE-83
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Summary:In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications.Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas
Physical Description:1 Online-Ressource (xiv, 322 Seiten) Illustrationen, Diagramme
ISBN:1799875660
9781799875666
ISSN:2327-3461
DOI:10.4018/978-1-7998-7564-2

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