£108.92

Springer Modeling Uncertainty with Fuzzy Logic - Vol 240

Name: Springer Modeling Uncertainty with Fuzzy Logic - Vol 240
Brand: Springer
Price: 108.92 GBP
Availability: InStock

AI & Machine Learning

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Description

The world is filled with uncertainty and imprecision. From simple daily questions about the weather or parking to complex economic predictions regarding oil prices and stock market shifts, navigating ambiguity is a constant challenge. This volume, Modeling Uncertainty with Fuzzy Logic: With Recent Theory and Applications, provides a deep look into how these variables affect decision-making. As part of the Studies in Fuzziness and Soft Computing series (Volume 240), this book addresses the fundamental problems of uncertainty and imprecision in modern systems. It moves beyond simple probability to explore how fuzzy logic can be applied to real-world scenarios, such as predicting market consequences or assessing the likelihood of complex economic outcomes. This text is an essential resource for those studying computer science, artificial intelligence, and machine learning. By examining recent theories and practical applications, it offers a framework for understanding how to model the unpredictable nature of the world around us. Whether you are analyzing social trends or financial risks, this book provides the theoretical grounding necessary to handle imprecise data effectively.

Key Features

Explores the fundamental differences between uncertainty and imprecision in real-world data modeling.

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

Provides practical examples ranging from daily life questions to complex economic and financial predictions.

Covers recent theories and applications of fuzzy logic to help navigate unpredictable environments.

Designed for advanced study in computer science, AI, and machine learning disciplines.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3540899235
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 08 April 2009
Listed Since: 10 November 2008

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Springer Modeling Uncertainty with Fuzzy Logic - Vol 240

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