Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications

Author:   Barbara Pękala
Publisher:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2019
Volume:   367
ISBN:  

9783030067434


Pages:   181
Publication Date:   13 December 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications


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Overview

This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.  

Full Product Details

Author:   Barbara Pękala
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2019
Volume:   367
Weight:   0.454kg
ISBN:  

9783030067434


ISBN 10:   3030067432
Pages:   181
Publication Date:   13 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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