Reliability Theory Based on Uncertain Lifetimes (Hardcover, 1st ed. 2021)


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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Product Description

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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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

April 2021

Availability

Expected to ship within 12 - 17 working days

First published

2021

Authors

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

228

Edition

1st ed. 2021

ISBN-13

978-981-16-0994-7

Barcode

9789811609947

Languages

value

Subtitles

value

Categories

LSN

981-16-0994-2



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