Artículos relacionados a Fuzzy Relations

Fuzzy Relations - Tapa blanda

Beg, Ismat

 
9783838320694: Fuzzy Relations
Tapa blanda
ISBN 10: 3838320697 ISBN 13: 9783838320694
Editorial: LAP Lambert Academic Publishing, 2009

Sinopsis

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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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP Lambert Academic Publishing
Año de publicación
2009
Idioma
Inglés
ISBN 10 
3838320697
ISBN 13 
9783838320694
Encuadernación
Tapa blanda
Número de páginas
100
Contacto del fabricante
no disponible
Persona responsable
no disponible