£107.98

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

Barcode

No barcode data available

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