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Springer Fuzzy Decision Analysis: Multi Attribute Decision Making

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Description

Expand your technical library with Fuzzy Decision Analysis: Multi Attribute Decision Making Approach, part of the Studies in Computational Intelligence series (1121). Published by Springer, this academic resource provides a specialized look at complex decision-making frameworks. This volume is designed for professionals and students working within the fields of business, finance, and computational intelligence. It addresses the methodologies required to navigate multi-attribute decision-making processes through a fuzzy logic lens. By integrating these advanced computational approaches, readers can better understand the mathematical structures used to manage uncertainty in complex environments. Whether you are researching e-commerce management or computational intelligence, this text serves as a formal guide to modern analytical techniques. It is an essential addition for those seeking academic depth in decision science and computational modeling.

Key Features

Part of the Studies in Computational Intelligence series, specifically volume 1121.

Focuses on the Multi Attribute Decision Making Approach for advanced analysis.

Published by Springer, a recognized leader in academic and technical literature.

Provides a specialized framework for understanding fuzzy decision analysis.

Designed for readers interested in business, finance, and computing management.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 November 2024
Listed Since
25 November 2024

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