£121.41

Springer Fuzzy Decision Procedures with Binary Relations

Name: Springer Fuzzy Decision Procedures with Binary Relations
Brand: Springer
Price: 121.41 GBP
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Managers' Guides to Computing

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Description

Explore the convergence of two major approaches to individual choice modeling in this academic text from Springer. Fuzzy Decision Procedures with Binary Relations: Towards A Unified Theory provides a deep look into the different methodologies used to represent preferences. Decision theory typically follows two paths. One is utility theory, which uses absolute representations of preferences to create numerical expressions of intensity. This method is known for its ability to integrate uncertainty regarding the state of nature and its effects on consequences. The second approach relies on binary relations to encode pairwise preferences, a method widely advocated in continental Europe and Russia. This volume, part of the Theory and Decision Library (Volume 13), helps bridge the gap between these distinct academic traditions. It is a valuable resource for researchers and students looking to understand how these different frameworks can be brought together into a unified theory of decision making.

Key Features

Examines the two primary approaches to modeling individual choice in decision theory.

Analyzes the utility theory method used to create numerical expressions of preference intensity.

Covers the binary relations approach used to encode pairwise preference in decision making.

Discusses how utility theory integrates uncertainty about the state of nature and its consequences.

Provides a bridge between Anglo-Saxon and continental European academic perspectives on preference modeling.

Part of the Theory and Decision Library series, specifically Volume 13.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 079232367X
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 31 August 1993
Listed Since: 15 February 2007

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Springer Fuzzy Decision Procedures with Binary Relations

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