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Springer Advances in Type-2 Fuzzy Sets and Systems - Theory & Applications

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Description

This comprehensive academic text examines recent breakthroughs in type-2 fuzzy sets and systems, covering both general and interval type-2 frameworks. The book addresses algebraic properties of type-2 fuzzy sets, geometric-based operator definitions, and generalisations of the continuous KM algorithm. Readers will explore the adaptiveness and novelty of interval type-2 fuzzy logic controllers, connections between conceptual spaces and type-2 fuzzy sets, and comparisons between type-2 fuzzy logic systems and perceptual computers. The work demonstrates practical applications for modelling human perception of real-world concepts using type-2 fuzzy sets and presents various methods for generating membership functions. Part of the Studies in Fuzziness and Soft Computing series (volume 301), this Springer publication bridges theoretical foundations with applied research for advanced study in artificial intelligence and machine learning.

Key Features

Explores algebraic properties and theoretical foundations of type-2 fuzzy sets and interval type-2 fuzzy systems for advanced computational research.

Covers geometric-based definitions of type-2 fuzzy set operators and generalisations of the continuous KM algorithm with modern applications.

Examines interval type-2 fuzzy logic controllers, emphasising adaptiveness and novelty in control system design and implementation.

Demonstrates methods for modelling human perception of real-world concepts using type-2 fuzzy sets in practical scenarios.

Compares type-2 fuzzy logic systems with perceptual computers, exploring relationships between conceptual spaces and type-2 frameworks.

Published by Springer as volume 301 in the Studies in Fuzziness and Soft Computing series for academic and professional audiences.

Product Specifications

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

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