A three phase supplier selection method based on fuzzy preference degree
| Autor: | Samarjit Kar, Supratim Mukherjee |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
Fuzzy classification General Computer Science business.industry Computer science Suppliers’ classification Grey possibility degree Type-2 fuzzy sets and systems Fuzzy logic Defuzzification Preference Fuzzy preference degree Fuzzy transportation Fuzzy number Fuzzy set operations Artificial intelligence Triangular fuzzy numbers business GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Journal of King Saud University - Computer and Information Sciences. 25:173-185 |
| ISSN: | 1319-1578 |
| DOI: | 10.1016/j.jksuci.2012.11.001 |
| Popis: | As competition is growing high on this globalized world, the companies are imposing more and more importance on the process of supplier selection. After the foundation of fuzzy logic, the problem of supplier selection has been treated from the viewpoint of uncertainty. The present work reviews and classifies different approaches towards this problem. A new fuzzy preference degree between two triangular fuzzy numbers is introduced and a new approach is prescribed to solve the problem using this preference degree. The weights of the Decision Makers are considered and a methodology is proposed to determine the weights. Moreover, a unique process of classifying the suppliers in different groups is proposed. The methodologies are exemplified by a suitable case study. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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