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Springer Discrete Fuzzy Measures: Computational Aspects - Springer

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Description

Discrete Fuzzy Measures: Computational Aspects is a comprehensive resource from Springer designed for computer scientists, IT specialists, mathematicians, knowledge engineers and programmers working in multicriteria decision making. This volume explores fuzzy measures, also known as capacities, which enable the combination of degrees of preferences, support or fuzzy memberships into representative values whilst accounting for interactions between inputs. The book provides detailed examination of mutual reinforcement and redundancy modelling through fuzzy measure coefficients, and demonstrates how fuzzy integrals such as the Choquet and Sugeno integrals effectively combine multiple inputs for sophisticated analytical applications.

Key Features

Addresses multicriteria decision making for computer scientists, IT specialists, mathematicians, knowledge engineers and programmers engaged in research and practice.

Explores fuzzy measures and capacities that combine degrees of preferences and fuzzy memberships into representative values.

Models explicit interactions between inputs through coefficients of mutual reinforcement and redundancy.

Covers fuzzy integrals including the Choquet and Sugeno integrals for combining inputs effectively.

Published by Springer as part of the Studies in Fuzziness and Soft Computing series, volume 382.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 March 2019
Listed Since
08 February 2019

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