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- Title
MULTIPLE CRITERIA FUZZY COST TRANSPORTATION MODEL OF "BOTTLENECK" TYPE.
- Authors
TKACENKO, Alexandra
- Abstract
The multiple criteria optimization problems with fuzzy objective functions coefficients are the most important, because of their often applications in various managerial decision processes. In this paper is presented an interactive solving approach for the multi-objective transportation problem with fuzzy cost coefficients and time minimizing criterion. The approach is based on interval presentation of each cost functions coefficients. By finding of the probabilistic parameter of belonging of coefficients of objective functions to their variation intervals for every criterion, we can find iteratively the corresponding set of efficient solutions for the multiple criteria transportation model for every value of parameter, structured by the time minimizing criterion. Thus, we could solve the multi-criteria transportation problem of fuzzy type for any value of the probabilistic parameter of belonging, that is in fact one of stochastic "bottleneck" type of problem. In other words, we have obtained one significant result, that any decision-making situation described by the proposed model can be predicted by its time and cost characteristics. The proposed algorithm has proved to be quite efficient, being tested on several examples.
- Publication
Economic Computation & Economic Cybernetics Studies & Research, 2014, Vol 48, Issue 2, p1
- ISSN
0424-267X
- Publication type
Academic Journal