Article ID: | iaor2007333 |
Country: | Netherlands |
Volume: | 162 |
Issue: | 1 |
Start Page Number: | 243 |
End Page Number: | 256 |
Publication Date: | Mar 2005 |
Journal: | Applied Mathematics and Computation |
Authors: | Abo-Sinna Mahmoud A., Amer Azzer H. |
Keywords: | fuzzy sets, programming: nonlinear |
In this paper, we focus on multi-objective large-scale nonlinear programming (MOLSNLP) problems with block angular structure. We extend technique for order preference by similarity ideal solution (TOPSIS) approach to solve (MOLSNLP) problems. Compromise (TOPSIS) control minimizes the measure of distance, providing that the closest solution should have the shortest distance from the positive ideal solution (PIS) as well as the longest distance from the negative ideal solution (NIS). As the measure of ‘closeness’ LP-metric is used. Thus, we reduce a