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Springer Fuzzy Decision Procedures with Binary Relations - Springer

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Description

This Springer book explores innovative approaches to synthesising, analysing, and assessing choice and ranking rules that work with both crisp and valued preference relations of any type, including non-transitive and non-antisymmetric systems. The work uncovers a consistent framework of rationality concepts that underpin traditional and contemporary choice rules, introducing the concept of fuzzy decision procedures. It presents quality assessment methods for decision procedures based on contensiveness and efficiency criteria, grounded in continuous preference theory and acceptability principles. Designed for managers and professionals navigating computational decision-making, this volume bridges theoretical foundations with practical applications in business and e-commerce contexts.

Key Features

Fuzzy decision procedures framework synthesises choice and ranking rules with arbitrary preference relation types.

Covers both crisp and valued preference relations, including non-transitive and non-antisymmetric systems.

Presents rationality concepts underlying conventional and modern choice rule structures.

Introduces contensiveness and efficiency quality criteria derived from continuous preference theory.

Part of Springer's Theory and Decision Library D series for academic and professional reference.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
23 October 2012
Listed Since
07 November 2013

Barcode

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