Reduced Multiplicative Tolerance Ranking and Applications
Автор: Sebastian Sitarz
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 3 vol.5, 2013 года.
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In this paper a reduced multiplicative tolerance - a measure of sensitivity analysis in multi-objective linear programming (MOLP) is presented. By using this new measure a method for ranking the set of efficient extreme solutions is proposed. The idea is to rank these solutions by values of the reduced tolerance. This approach can be applied to many MOLP problems, where sensitivity analysis is important for a decision maker. In the paper, applications of the presented methodology are shown in the market model and the transportation problem.
Multi-Criteria Analysis, Sensitivity Analysis, Multi-Objective Linear Programming, Decision Making
Короткий адрес: https://sciup.org/15010388
IDR: 15010388
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