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Discrete Fuzzy Measures

Language EnglishEnglish
Book Hardback
Book Discrete Fuzzy Measures Gleb Beliakov
Libristo code: 21374097
Publishers Springer Nature Switzerland AG, July 2019
This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and pro... Full description
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This book addresses computer scientists, IT specialists, mathematicians, knowledge engineers and programmers, who are engaged in research and practice of multicriteria decision making. Fuzzy measures, also known as capacities, allow one to combine degrees of preferences, support or fuzzy memberships into one representative value, taking into account interactions between the inputs. The notions of mutual reinforcement or redundancy are modeled explicitly through coefficients of fuzzy measures, and fuzzy integrals, such as the Choquet and Sugeno integrals combine the inputs. Building on previous monographs published by the authors and dealing with different aspects of aggregation, this book especially focuses on the Choquet and Sugeno integrals. It presents a number of new findings concerning computation of fuzzy measures, learning them from data and modeling interactions. The book does not require substantial mathematical background, as all the relevant notions are explained. It is intended as concise, timely and self-contained guide to the use of fuzzy measures in the field of multicriteria decision making.

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About the book

Full name Discrete Fuzzy Measures
Language English
Binding Book - Hardback
Date of issue 2019
Number of pages 245
EAN 9783030153045
ISBN 3030153045
Libristo code 21374097
Weight 559
Dimensions 155 x 235 x 20
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