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Springer Modeling Uncertainty with Fuzzy Logic - Book 240

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Description

The world is filled with uncertainty and imprecision, from daily questions about the weather to complex financial predictions regarding oil prices and stock markets. This volume, Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications, explores how to address these challenges. As part of the Studies in Fuzziness and Soft Computing series (Volume 240), this book provides insights into managing both uncertainty and imprecision in various scenarios. It examines real-world examples such as predicting economic shifts and assessing the consequences of large-scale financial bailouts. This text is designed for those studying computer science, AI, and machine learning who need to understand how fuzzy logic applies to complex, real-world decision making.

Key Features

Part of the Studies in Fuzziness and Soft Computing series, specifically volume 240.

Published by Springer, a leading name in academic and technical literature.

Addresses the practical application of fuzzy logic in managing uncertainty and imprecision.

Covers diverse examples ranging from daily weather predictions to complex economic forecasting.

Provides theoretical and applied perspectives on modeling complex real-world scenarios.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 April 2009
Listed Since
10 November 2008

Barcode

No barcode data available

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