Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367 (Studies in Fuzziness and Soft Computing, 367) - Hardcover

Book 134 of 183: Studies in Fuzziness and Soft Computing

Pękala, Barbara

 
9783319939094: Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367 (Studies in Fuzziness and Soft Computing, 367)
Hardcover
ISBN 10: 3319939092 ISBN 13: 9783319939094
Publisher: Springer, 2018

Synopsis

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.  

"synopsis" may belong to another edition of this title.

From the Back Cover

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.  

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2018
Language
English
ISBN 10 
3319939092
ISBN 13 
9783319939094
Binding
Hardcover
Edition number
1
Number of pages
195

Other Popular Editions of the Same Title

9783030067434: Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367 (Studies in Fuzziness and Soft Computing, 367)

Featured Edition

ISBN 10:  3030067432 ISBN 13:  9783030067434
Publisher: Springer, 2018
Softcover