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Uncertainty Data in Interval-Valued Fuzzy Set Theory : Properties, Algorithms and Applications / by Barbara Pękala

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Fuzziness and Soft Computing ; 367 | SpringerLink BücherPublisher: Cham : Springer, 2019Description: Online-Ressource (XIV, 181 p. 12 illus, online resource)ISBN:
  • 9783319939100
Subject(s): Additional physical formats: 9783319939094 | Erscheint auch als: 978-3-319-93909-4 Druck-Ausgabe | Erscheint auch als Druck-Ausgabe: DDC classification:
  • 006.3
MSC: MSC: *68-02 | 03E72 | 68T37LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-319-93910-0Online resources: Summary: 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 dataSummary: Introduction to Fuzzy Sets -- Interval-Valued Fuzzy Relations -- Applications -- Summary and Open ProblemPPN: PPN: 1026848334Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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