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Reliability theory based on uncertai...

Liu, Ying.

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Reliability theory based on uncertain lifetimes

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reliability theory based on uncertain lifetimes/ by Ying Liu.
作者:	Liu, Ying.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	ix, 228 p. :ill. (some col.), digital ;24 cm.
內容註:	Uncertainty Mathematics -- Unrepairable Systems Based on Stochastic Lifetimes -- Unrepairable Systems Based on Fuzzy Lifetimes -- Unrepairable Systems Based on Random Fuzzy Lifetimes -- Repairable Systems Based on Stochastic Lifetimes and Repair Times -- Repairable Systems Based on Random Fuzzy Lifetimes and Repair Times.
Contained By:	Springer Nature eBook
標題:	Reliability (Engineering) -
電子資源:	https://doi.org/10.1007/978-981-16-0995-4
ISBN:	9789811609954

Reliability theory based on uncertain lifetimes
Liu, Ying.

Reliability theory based on uncertain lifetimes[electronic resource] /by Ying Liu. - Singapore :Springer Singapore :2021. - ix, 228 p. :ill. (some col.), digital ;24 cm.

Uncertainty Mathematics -- Unrepairable Systems Based on Stochastic Lifetimes -- Unrepairable Systems Based on Fuzzy Lifetimes -- Unrepairable Systems Based on Random Fuzzy Lifetimes -- Repairable Systems Based on Stochastic Lifetimes and Repair Times -- Repairable Systems Based on Random Fuzzy Lifetimes and Repair Times.

This book, to reflect the system's diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.

ISBN: 9789811609954

Standard No.: 10.1007/978-981-16-0995-4doiSubjects--Topical Terms:

647853
Reliability (Engineering)

LC Class. No.: TA169 / .L589 2021

Dewey Class. No.: 620.00452

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520 $a This book, to reflect the system's diverse, relevant characteristics, uses three different mathematical tools, namely probability theory, fuzzy theory and random fuzzy theory, to model and analyze the reliability of each system. Reliability system engineering is an interdisciplinary area that chiefly focuses on the lifecycle characteristics of products and involves many fields of basic mathematics, technical science and management science. In recent years, there have been many books on reliability theory, but comparatively few on the reliability of mathematical models, or the reliability of mathematical models based on single probability theory or fuzzy theory. The findings presented here will not only enrich and expand traditional reliability theory, but also promote the development of related disciplines, lending the book considerable theoretical significance.
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