ISBN: 9786138692058 - decision making using fuzzy measures & applications in coding theory (8 resultados)

- Tapa blanda
Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 95,42
Envío por EUR 3,55Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 112.

- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 51,80
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: 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. …

- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,90
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: 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.…

- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,17
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: 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.…

- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 67,45
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponible
Taschenbuch. Condición: 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.…

- Tapa blanda
- Impresión bajo demanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 97,83
Envío por EUR 7,74Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand pp. 112.

- Tapa blanda
- Impresión bajo demanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 98,37
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 112.

- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 59,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponible
Taschenbuch. Condición: 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.…