Article ID: | iaor2001428 |
Country: | United Kingdom |
Volume: | 27 |
Issue: | 1 |
Start Page Number: | 43 |
End Page Number: | 57 |
Publication Date: | Jan 2000 |
Journal: | Computers and Operations Research |
Authors: | Lai K.K., Li Lushu |
Keywords: | programming: multiple criteria, programming: transportation |
The aim of this paper is to present a fuzzy compromise programming approach to multiobjective transportation problems. A characteristic feature of the approach proposed is that various objectives are synthetically considered with the marginal evaluation for individual objectives and the global evaluation for all objectives. The decision-maker's preference is taken into account by his/her assigning the weights of objectives. With the global evaluation for all objectives, a compromise programming model is formulated. This model covers a wide spectrum of methods with Zimmermann's fuzzy programming approach essentially equivalent to one of its special cases. Using ordinary optimization technique, we solve the fuzzy compromise programming model to obtain a non-dominated compromise solution at which the synthetic membership degree of the global evaluation for all objectives is maximum. A numerical example is given to demonstrate the efficiency of the proposed fuzzy compromise programming approach.