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Discrete Fuzzy Measures: Computational Aspects (Studies in Fuzziness and Soft Computing)
Gleb Beliakov; Simon James; Jian-Zhang Wu (Author)
·
Springer
· Hardcover
Discrete Fuzzy Measures: Computational Aspects (Studies in Fuzziness and Soft Computing) - Gleb Beliakov; Simon James; Jian-Zhang Wu
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Synopsis "Discrete Fuzzy Measures: Computational Aspects (Studies in Fuzziness and Soft Computing)"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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