Fuzzy Relations - Couverture souple

Beg, Ismat

 
9783838320694: Fuzzy Relations
Couverture souple
ISBN 10 : 3838320697 ISBN 13 : 9783838320694
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Fuzzy relations are considered as softer models for expressing the strength of links between elements. Starting in early seventies, fuzzy relations have been defined, investigated, and applied in many different ways e.g., in fuzzy modeling, fuzzy diagnosis, and fuzzy control. They also have applications in fields such as Artificial Intelligence, Psychology, Medicine, Economics, and Sociology. In this monograph/thesis, we aim to study fuzzy equivalence relations in context of a modified definition of transitivity. This definition is formulated with the aim that it would provide a solution to the Poincare Paradox, which accompanies every definition of crisp and fuzzy transitiviy previously designed. Motivated by Debreu's work in economics several existence theorems for numerical representation of max-min transitive symmetric fuzzy orderings are also given . Readership: Mathematicians and computer scientists, economists, engineers, psychologists and medicine researchers.

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Présentation de l'éditeur

Fuzzy relations are considered as softer models for expressing the strength of links between elements. Starting in early seventies, fuzzy relations have been defined, investigated, and applied in many different ways e.g., in fuzzy modeling, fuzzy diagnosis, and fuzzy control. They also have applications in fields such as Artificial Intelligence, Psychology, Medicine, Economics, and Sociology. In this monograph/thesis, we aim to study fuzzy equivalence relations in context of a modified definition of transitivity. This definition is formulated with the aim that it would provide a solution to the Poincare Paradox, which accompanies every definition of crisp and fuzzy transitiviy previously designed. Motivated by Debreu's work in economics several existence theorems for numerical representation of max-min transitive symmetric fuzzy orderings are also given . Readership: Mathematicians and computer scientists, economists, engineers, psychologists and medicine researchers.

Biographie de l'auteur

Ismat Beg is a Professor at Centre for Advanced Studies in Mathematics, Lahore University of Management Sciences.He is teaching courses on Functional Analysis and Fuzzy Set Theory and its Applications to graduate and postgraduate students in mathematics, economics and computer science. Samina Ashraf did her Ph.D. in 2008 with Ismat Beg.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838320697
ISBN 13 
9783838320694
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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