| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4630155 | Applied Mathematics and Computation | 2011 | 10 Pages |
Abstract
TOPSIS is a multi-attribute decision making (MADM) technique for ranking and selection of a number of externally determined alternatives through distance measures. When the collected data for each criterion is interval and the risk attitude for a decision maker is unknown, we present a new TOPSIS method for normalizing the collected data and ranking the alternatives. The results show that the decision maker with different risk attitude ranks the different alternatives.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ruey-Chyn Tsaur,