Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Starczewski, Janusz T. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Fuzziness and Soft Computing, 284
Temas:
Computational intelligence.
Computer simulation.
Engineering design.
Computational Intelligence.
Computer Modelling.
Engineering Design.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty  |h [electronic resource] /  |c by Janusz T. Starczewski. 
250 |a 1st ed. 2013. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XII, 308 p.  |b online resource. 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 284 
505 0 |a Uncertainty in Fuzzy Sets -- Algebraic Operations on Fuzzy Valued Fuzzy Sets -- Defuzzification of Uncertain Fuzzy Sets -- Generalized Uncertain Fuzzy Logic Systems -- Uncertainty Generation in Uncertain Fuzzy Logic Systems -- Designing Uncertain Fuzzy Logic Systems. 
520 |a This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.  . 
650 0 |a Computational intelligence. 
650 0 |a Computer simulation. 
650 0 |a Engineering design. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Computer Modelling. 
650 2 4 |a Engineering Design. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642295218 
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830 0 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 284 
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912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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