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Springer Advances in Type-2 Fuzzy Sets and Systems - Book 301

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Description

Explore the latest advancements in fuzzy logic with Advances in Type-2 Fuzzy Sets and Systems by Springer. This academic text provides a deep look into the theoretical foundations and practical applications of both general and interval type-2 fuzzy sets and systems. It is an essential resource for researchers and professionals working in AI and machine learning. The book covers a wide range of complex topics, including the algebraic properties of type-2 fuzzy sets and geometric-based definitions of operators. Readers will learn about the continuous KM algorithm and the adaptiveness of interval type-2 fuzzy logic controllers. By examining the relationship between conceptual spaces and type-2 fuzzy sets, this volume helps bridge the gap between theory and real-world application. Whether you are studying perceptual computers or looking for methods to model human perception of real-world concepts, this volume offers detailed insights. It addresses the technical differences between type-2 fuzzy logic systems and perceptual computers, making it a valuable addition to any technical library focused on soft computing and advanced computational intelligence.

Key Features

Covers theoretical foundations of general and interval type-2 fuzzy sets and systems for advanced research.

Explores algebraic properties and geometric-based definitions of type-2 fuzzy set operators.

Discusses the continuous KM algorithm and the adaptiveness of interval type-2 fuzzy logic controllers.

Examines the relationship between conceptual spaces and type-2 fuzzy sets to improve modeling.

Provides insights into modeling human perception of real world concepts using type-2 fuzzy sets.

Compares type-2 fuzzy logic systems against perceptual computers for computational analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
08 July 2015
Listed Since
08 July 2015

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No barcode data available

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