- PII
- S042473880000600-9-1
- DOI
- 10.7868/S0000600-9-1
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 53 / Issue 4
- Pages
- 105-113
- Abstract
- Multicriteria decision making models need to evaluate a finite set of alternatives concerning multiple criteria and to evaluate each criteria and all the alternatives. If criteria of importance depend essentially on the alternatives then the second problem is very difficult. In this article, we propose some algorithm to obtain criteria weights from a set of local criteria weights for each alternative. This algorithm is based on criteria-alternatives interactions and derived weights as the solution of the eigenvector problem for some interaction matrix. The obtained criteria-alternatives interaction algorithm may be used to modify any original MCDM method based on an additive scalar criterion. If criteria are independent from alternatives, the criteria-alternatives interaction algorithm automatically takes the original form.
- Keywords
- decision analysis, MCDM, AHP, criteria weights, preference
- Date of publication
- 01.10.2017
- Year of publication
- 2017
- Number of purchasers
- 4
- Views
- 1012