Isbn: 9786202008662 - fuzzy-neural network models for effective control of profitability (6 risultati)

Paperback. Condizione: Brand New. 328 pages. 8.66x5.91x0.74 inches. In Stock.

Taschenbuch. Condizione: Neu. Fuzzy-Neural Network Models for Effective Control of Profitability | Uduak Umoh | Taschenbuch | 328 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202008662 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the demand for materials continues to grow and the supply of natural resources continues to dwindle, a high degree of recycling of materials has become increasingly important. Recycling industries need to overcome the high cost of recycling and improve profitability by effective management of resources and management practices, using decision support models that are both quantitative and qualitative. However, models in present use emphasize mathematical procedures which are only good for analyzing quantitative decision variables and fail to take into consideration several relevant qualitative decision variables which can not be simply quantified. This book provides means of handling qualitative decision variables problems in profitability control using fuzzy logic and neural network tools to solve the lapses in other models. To reinforce the work, it is applied to a case study performed on a Paper recycling industry in Nigeria. Comparative analyses indicate that fuzzy-neural network offers a better correlation than the fuzzy logic components and should be useful in handling qualitative decision variable problems and should provide a better solution to the profitability control. 328 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the demand for materials continues to grow and the supply of natural resources continues to dwindle, a high degree of recycling of materials has become increasingly important. Recycling industries need to overcome the high cost of recycling and improve profitability by effective management of resources and management practices, using decision support models that are both quantitative and qualitative. However, models in present use emphasize mathematical procedures which are only good for analyzing quantitative decision variables and fail to take into consideration several relevant qualitative decision variables which can not be simply quantified. This book provides means of handling qualitative decision variables problems in profitability control using fuzzy logic and neural network tools to solve the lapses in other models. To reinforce the work, it is applied to a case study performed on a Paper recycling industry in Nigeria. Comparative analyses indicate that fuzzy-neural network offers a better correlation than the fuzzy logic components and should be useful in handling qualitative decision variable problems and should provide a better solution to the profitability control.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Umoh UduakUmoh U. A. had received a Ph.D. degree in Soft Computing, MSc. degree in DBMS and BSc. degree. She is currently working as a Senior Lecturer, in the University of Uyo, Dept. of Computer Sc. She has published several quality.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the demand for materials continues to grow and the supply of natural resources continues to dwindle, a high degree of recycling of materials has become increasingly important. Recycling industries need to overcome the high cost of recycling and improve profitability by effective management of resources and management practices, using decision support models that are both quantitative and qualitative. However, models in present use emphasize mathematical procedures which are only good for analyzing quantitative decision variables and fail to take into consideration several relevant qualitative decision variables which can not be simply quantified. This book provides means of handling qualitative decision variables problems in profitability control using fuzzy logic and neural network tools to solve the lapses in other models. To reinforce the work, it is applied to a case study performed on a Paper recycling industry in Nigeria. Comparative analyses indicate that fuzzy-neural network offers a better correlation than the fuzzy logic components and should be useful in handling qualitative decision variable problems and should provide a better solution to the profitability control.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 328 pp. Englisch.…