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 me...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal: Starczewski, Janusz T., 19..-
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2013.
Collection:Studies in Fuzziness and Soft Computing 284
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty, Texte imprimé, 9783642295195
Description
Résumé: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.  
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642295201
ISSN:1860-0808
Accès:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017