Fuzzy Social Choice Theory, Michael B. Gibilisco; Annie M. Gowen; Karen E. Alb

Автор: Zhong Li; Guanrong Chen
Название: Integration of Fuzzy Logic and Chaos Theory
ISBN: 3642065945 ISBN-13(EAN): 9783642065941
Издательство: Springer
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Цена: 174130.00 T
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Автор: Xiaodong Liu; Witold Pedrycz
Название: Axiomatic Fuzzy Set Theory and Its Applications
ISBN: 3642101461 ISBN-13(EAN): 9783642101465
Издательство: Springer
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Цена: 186330.00 T
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Описание: This volume examines Axiomatic Fuzzy Sets (AFS), in which fuzzy sets and probability are treated in a unified and coherent fashion. It presents AFS as a rigorous mathematical theory as well as a flexible methodology for the development of intelligent systems.

Автор: Chris Cornelis; Glad Deschrijver; Mike Nachtegael;
Название: 35 Years of Fuzzy Set Theory
ISBN: 3642423396 ISBN-13(EAN): 9783642423390
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book is a tribute to Etienne E. Kerre on the occasion of his retirement on October 1st, 2010. It gathers contributions from researchers who have been close to him in one way or another during his fruitful 35-year career in the field of fuzzy set theory.

Автор: Badredine Arfi
Название: Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 3642422373 ISBN-13(EAN): 9783642422379
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.

Автор: Badredine Arfi
Название: Linguistic Fuzzy Logic Methods in Social Sciences
ISBN: 3642133428 ISBN-13(EAN): 9783642133428
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents linguistic fuzzy logic methods applied to social sciences. It presents an approach to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences.

Автор: Javed Ahsan; John N. Mordeson; Muhammad Shabir
Название: Fuzzy Semirings with Applications to Automata Theory
ISBN: 3642440037 ISBN-13(EAN): 9783642440038
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book studies important classes of semirings by using currently documented techniques, by developing new methods for investigating the structure of semirings in a fuzzy context, and extending to the setting of fuzzy semimodules over semirings.

Автор: Rafik Aziz Aliev
Название: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions
ISBN: 3642348947 ISBN-13(EAN): 9783642348945
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents a new decision theory with imperfect decision-relevant information on environment and a decision maker`s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory.

Автор: Zeshui Xu
Название: Hesitant Fuzzy Sets Theory
ISBN: 3319047108 ISBN-13(EAN): 9783319047102
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book presents a systematic introduction to hesitant fuzzy theory. Coverage includes hesitant fuzzy aggregation techniques, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods.

Автор: Peter C. Casey; Michael B. Gibilisco; Carly A. Goo
Название: Fuzzy Social Choice Models
ISBN: 3319082477 ISBN-13(EAN): 9783319082479
Издательство: Springer
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Цена: 121890.00 T
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Описание: The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed.

Автор: Fernando Mat?a; G. Nicol?s Marichal; Emilio Jim?ne
Название: Fuzzy Modeling and Control: Theory and Applications
ISBN: 9462390819 ISBN-13(EAN): 9789462390812
Издательство: Springer
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Цена: 148020.00 T
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Описание: Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90`s. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style.