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Uncertainty data in interval-valued ...

Pekala, Barbara.

Uncertainty data in interval-valued fuzzy set theoryproperties, Algorithms and Applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Uncertainty data in interval-valued fuzzy set theoryby Barbara Pekala.
Reminder of title:	properties, Algorithms and Applications /
Author:	Pekala, Barbara.
Published:	Cham :Springer International Publishing :2019.
Description:	xiv, 181 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy sets.
Online resource:	http://dx.doi.org/10.1007/978-3-319-93910-0
ISBN:	9783319939100$q(electronic bk.)

Uncertainty data in interval-valued fuzzy set theoryproperties, Algorithms and Applications /
Pekala, Barbara.

Uncertainty data in interval-valued fuzzy set theoryproperties, Algorithms and Applications /[electronic resource] :by Barbara Pekala. - Cham :Springer International Publishing :2019. - xiv, 181 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3671434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

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.

ISBN: 9783319939100$q(electronic bk.)

Standard No.: 10.1007/978-3-319-93910-0doiSubjects--Topical Terms:

182529
Fuzzy sets.

LC Class. No.: QA248.5 / .P734 2019

Dewey Class. No.: 511.3223

Uncertainty data in interval-valued fuzzy set theoryproperties, Algorithms and Applications /
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