Decision-making Model for Multidimensional ...
URL: http://www.ijape.org/paperInfo.aspx?ID=1777
Decision-making model for multidimensional analysis of preference on trapezoid fuzzy number distant expected values are proposed. The group decision-making problem are solved when preference and attribute are given by trapezoid fuzzy number .Its algorithm is as follows: First, define a distortion function between subjective / objective analysis of preference under B-cut set to get weighted vector of the attribute through constructing a criterion-programming model. Second, congregate the weighted normalization fuzzy decision matrices of all the decision-makers under different B-cut sets to form a total weighted normalization fuzzy decision matrix. Finally, get relative closeness B of each alternative adjustment decision and then sort by size to determine the optimal program
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Additional Information
| Field | Value |
|---|---|
| Last updated | unknown |
| Created | unknown |
| Format | unknown |
| License | Other (Open) |
| Created | over 12 years ago |
| id | 5a3993a6-9f56-4ac0-b28a-0513d56b117e |
| package id | 7880ed29-9141-420c-9807-08e2f3a7d906 |
| position | 12 |
| resource type | file |
| revision id | 1c12dee9-afdb-4169-b9a6-f813749355bb |
| state | active |
