
By using the concepts of \(\alpha\)-possible feasibility, \(\beta\)-possible efficiency, the author has written a study on some possible fuzzy distributions of coefficients in a multiple objective linear programming problem, in order to eliminate their subjective choice as decision makers. A necessary and sufficient condition is given, in order to characterize an (\(\alpha\),\(\beta)\)-satisfying solution to which a numeric example is added.
fuzzy, multiple objective linear programming, \(\beta \)-possible efficiency, Sensitivity, stability, parametric optimization, (\(\alpha \) ,\(\beta \) )-satisfying solution, Stochastic programming, \(\alpha \)-possible feasibility
fuzzy, multiple objective linear programming, \(\beta \)-possible efficiency, Sensitivity, stability, parametric optimization, (\(\alpha \) ,\(\beta \) )-satisfying solution, Stochastic programming, \(\alpha \)-possible feasibility
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