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Springer Fuzzy Preference Modelling and Decision Support Book

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Description

Expand your understanding of complex decision-making with Fuzzy Preference Modelling and Multicriteria Decision Support. Published by Springer as part of the Theory and Decision Library, this text offers a deep look into the essential results of fuzzy logic. It covers critical components such as negations, conjunctions, disjunctions, and implications, while explaining how these different connectives relate to one another. This work is highly valuable for researchers and professionals looking to master valued binary relations that satisfy various transitivity-type conditions. The authors present a sound introduction to valued preference modelling by using fuzzy set theory and functional equations in a systematic way. By studying these foundations, readers can better understand the processes of aggregation, ranking, and choice procedures used in multicriteria decision aid. It is a technical resource designed to support advanced study in decision science and mathematical logic.

Key Features

Comprehensive coverage of fuzzy logic results including negations, conjunctions, disjunctions, and implications.

Explains the interrelations between different connectives to provide a complete logical framework.

Analyzes multiple results regarding valued binary relations and diverse transitivity-type conditions.

Provides a systematic introduction to valued preference modelling using fuzzy set theory and functional equations.

Develops foundations for multicriteria decision aid through aggregation, ranking, and choice procedures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 December 2010
Listed Since
14 June 2010

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No barcode data available

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