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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Uncertainty Data in Interval-Valued Fuzzy Set Theory/ by Barbara Pękala.
其他題名:	Properties, Algorithms and Applications /
作者:	Pękala, Barbara.
面頁冊數:	XIV, 181 p. 12 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-93910-0
ISBN:	9783319939100

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

Uncertainty Data in Interval-Valued Fuzzy Set TheoryProperties, Algorithms and Applications /[electronic resource] :by Barbara Pękala. - 1st ed. 2019. - XIV, 181 p. 12 illus.online resource. - Studies in Fuzziness and Soft Computing,3671434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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