| Article ID: | iaor20082726 |
| Country: | India |
| Volume: | 28 |
| Issue: | 3 |
| Start Page Number: | 493 |
| End Page Number: | 504 |
| Publication Date: | May 2007 |
| Journal: | Journal of Information & Optimization Sciences |
| Authors: | Chu Ta-Chung |
In some cases, criteria of fuzzy MCDM may have several sub-criteria and sub-subcriteria etc. Thus a fuzzy multiple levels MCDM model is needed. But if there are more than two levels in the criteria hierarchy, the multiplication of more than three fuzzy numbers can not be solved. Thus, it is necessary to defuzzify fuzzy numbers before establishing the model. This work suggests the ranking method of center of area, which has the merits of equally dividing the area under membership function. The suggested ranking approach is then applied to develop a defuzzified fuzzy MLMCDM model.