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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.
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
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Scholars' Press Mrz 2019, 2019
ISBN 10: 6138692055
ISBN 13: 9786138692058
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 and type beta 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. 112 pp. Englisch. Seller Inventory # 9786138692058
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
Seller: Books Puddle, Woodside, NY, U.S.A.
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Condition: New. pp. 112. Seller Inventory # 26377863408
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Munde AnjaliDr Anjali Munde is a Ph.D in Mathematics. She obtained her Post- Graduation and Honours Graduation degree in Mathematics from Hans Raj College, University of Delhi. She is a gold medalist in M.Sc (Mathematics). She has a. Seller Inventory # 283855292
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 and type beta 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. Seller Inventory # 9786138692058
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
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Condition: New. Print on Demand pp. 112. Seller Inventory # 384959279
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND pp. 112. Seller Inventory # 18377863418
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
Published by
Scholars' Press Mär 2019, 2019
ISBN 10: 6138692055
ISBN 13: 9786138692058
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 ¿ and type ß 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. Seller Inventory # 9786138692058
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Decision Making Using Fuzzy Measures & Applications in Coding Theory
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Decision Making Using Fuzzy Measures & Applications in Coding Theory | Anjali Munde | Taschenbuch | 112 S. | Englisch | 2019 | Scholars' Press | EAN 9786138692058 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 116196384