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Reliability theory based on uncertai...

Liu, Ying.

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Reliability theory based on uncertain lifetimes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability theory based on uncertain lifetimes/ by Ying Liu.
Author:	Liu, Ying.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	ix, 228 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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
Subject:	Reliability (Engineering) -
Online resource:	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

Reliability theory based on uncertain lifetimes
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245 1 0 $a Reliability theory based on uncertain lifetimes $h [electronic resource] / $c by Ying Liu.
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505 0 $a 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.
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.
650 0 $a Reliability (Engineering) $3 647853
650 1 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Computational Intelligence. $3 1001631
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