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Springer Fuzzy Cognitive Maps: Modeling & Simulation - AI Book

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Description

Fuzzy Cognitive Maps: A Tool for the Modeling and Simulation of Processes and Systems offers a comprehensive exploration of fuzzy cognitive mapping techniques within the framework of soft computing. This volume, part of Springer's Studies in Fuzziness and Soft Computing series (427), provides researchers, academics, and professionals with essential methods for representing complex systems and processes through fuzzy logic paradigms. The book examines both theoretical foundations and practical applications of fuzzy cognitive maps, demonstrating how these tools can model uncertainty, simulate dynamic behaviours, and support decision-making across diverse domains including engineering, business, and scientific research. Ideal for those seeking to advance their understanding of artificial intelligence and computational intelligence methodologies, this Springer publication combines rigorous academic treatment with accessible explanations of how fuzzy cognitive mapping bridges symbolic reasoning and numerical computation for real-world system analysis.

Key Features

Part of Springer's Studies in Fuzziness and Soft Computing series (volume 427) providing peer-reviewed research on advanced computational techniques.

Covers fuzzy cognitive maps as a practical tool for modeling complex processes and systems with uncertainty management.

Explores simulation methods that enable researchers to predict system behaviour and test hypotheses computationally.

Combines soft computing approaches with cognitive science principles for interdisciplinary system analysis.

Suitable for graduate students, researchers, and professionals working in AI, machine learning, and computational systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 December 2024
Listed Since
18 December 2024

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