Decision Making Using Fuzzy Measures & Applications in Coding Theory - Couverture souple

Munde, Anjali

Couverture souple

ISBN 10 : 6138692055 ISBN 13 : 9786138692058

Editeur : Scholars' Press, 2019

Synopsis

The book provides a comprehensive knowledge of applications of measures of fuzzy information and directed divergence in decision making and coding theory. The book emphasizes on the introduction of a new generalized measure of fuzzy directed divergence involving two real parameters. A decision making algorithm is developed based on proposed generalized fuzzy divergence measure for solving multiple criteria decision making problems with fuzzy information. A numerical example is also considered to illustrate the flexibility of the proposed decision making approach. The application of Holder’s inequality to Coding theory i.e. Noiseless coding theorem connected with the proposed measure of fuzzy information has been established. New fuzzy code word length has been developed. Further, the mean code word length of order α and type β for 1:1 codes has been proposed and the relationship between average code word length and fuzzy information measures for binary 1:1 codes has been analyzed. The target audience comprises primarily researchers and practitioners in the involved fields but the book may also be beneficial for graduate students.

Détails de l'édition

• Éditeur: Scholars' Press
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 6138692055
• ISBN 13: 9786138692058
• Reliure: Broché
• Nombre de pages: 112
• Coordonnées du fabricant: non disponible
• Personne responsable: info@bod.de; info@bod.de; ; Überseering 33; Hamburg; 22297; Allemagne