Fuzzy hierarchical TOPSIS for supplier selection
β Scribed by Jia-Wen Wang; Ching-Hsue Cheng; Kun-Cheng Huang
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 424 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1568-4946
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Selection of the appropriate machine tools for a manufacturing company is a very important but at the same time a complex and difficult problem because of the availability of wide-ranging alternatives and similarities among machine tools. In the literature, various machine tool selection procedures
Neuro-fuzzy systems are by now well established in data analysis and system control. They are well suited for the development of interactive data analysis tools, which enable the extraction of rule-based knowledge from data and the introduction of a priori knowledge in the process of data analysis a
In this work, a hierarchical neuro-fuzzy call admission controller for ATM networks based on the GARIC architecture is proposed. The controller contains a neural network as a critic, using the reinforcement learning scheme, and three fuzzy sub-networks, controlling cell loss ratio, queue size and li