£125.00

Springer Discrete Fuzzy Measures: Computational Aspects 382

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Description

Discrete Fuzzy Measures: Computational Aspects (Studies in Fuzziness and Soft Computing, 382) provides essential technical knowledge for professionals working in multicriteria decision making. Published by Springer, this volume serves as a specialized resource for computer scientists, IT specialists, mathematicians, knowledge engineers, and programmers. The text explores how fuzzy measures, also known as capacities, enable the combination of degrees of preferences, support, or fuzzy memberships into a single representative value. This process is vital for accounting for interactions between various inputs. By utilizing coefficients of fuzzy measures, the book models notions of mutual reinforcement or redundancy explicitly. Furthermore, it covers how fuzzy integrals, including the Choquet and Sugeno integrals, combine inputs to provide more accurate decision-making models. This book is a practical tool for those engaged in both the research and real-world application of fuzzy logic and soft computing methods.

Key Features

Designed for professionals including mathematicians, IT specialists, and knowledge engineers working in multicriteria decision making.

Explains how to use fuzzy measures, or capacities, to combine degrees of preference and fuzzy memberships into one value.

Provides methods to account for input interactions, allowing for more accurate modeling of complex data sets.

Models mutual reinforcement and redundancy through the explicit use of fuzzy measure coefficients.

Covers essential fuzzy integrals such as the Choquet and Sugeno integrals for combining inputs effectively.

Part of the Studies in Fuzziness and Soft Computing series, volume 382, published by Springer.

Product Specifications

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

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