Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
477159 | European Journal of Operational Research | 2009 | 10 Pages |
Abstract
Outranking methods constitute an important class of multicriteria classification models. Often, however, their implementation is cumbersome, due to the large number of parameters that the decision maker must specify. Past studies tried to address this issue using linear and nonlinear programming, to elicit the necessary preferential information from assignment examples. In this study, an evolutionary approach, based on the differential evolution algorithm, is proposed in the context of the ELECTRE TRI method. Computational results are given to test the effectiveness of the methodology and the quality of the obtained models.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
M. Doumpos, Y. Marinakis, M. Marinaki, C. Zopounidis,