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作者 Pekala, Barbara, author
書名 Uncertainty data in interval-valued fuzzy set theory : properties, Algorithms and Applications / by Barbara Pekala
出版項 Cham : Springer International Publishing : Imprint: Springer, 2019
國際標準書號 9783319939100 (electronic bk.)
9783319939094 (paper)
國際標準號碼 10.1007/978-3-319-93910-0 doi
book jacket
說明 1 online resource (xiv, 181 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Studies in fuzziness and soft computing, 1434-9922 ; volume 367
Studies in fuzziness and soft computing ; volume 367
附註 Introduction to Fuzzy Sets -- Interval-Valued Fuzzy Relations -- Applications -- Summary and Open Problem
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
Host Item Springer eBooks
主題 Fuzzy sets
Uncertainty (Information theory)
Computational Intelligence
Operations Research, Management Science
Artificial Intelligence (incl. Robotics)
Operations Research/Decision Theory
Alt Author SpringerLink (Online service)
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