Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367 - Rilegato

Pekala, Barbara

 
9783319939094: Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367
Rilegato
ISBN 10: 3319939092 ISBN 13: 9783319939094
Casa editrice: Springer-Nature New York Inc, 2018

Sinossi

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.  

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.  

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Nature New York Inc
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
3319939092
ISBN 13 
9783319939094
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
181
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Germania

Altre edizioni note dello stesso titolo

9783030067434: Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications: 367

Edizione in evidenza

ISBN 10:  3030067432 ISBN 13:  9783030067434
Casa editrice: Springer, 2018
Brossura