An Entropic Regularization Method for Solving Systems of Fuzzy Linear Inequalities
نویسنده
چکیده
Solving systems of fuzzy linear inequalities could lead to the solutions of fuzzy linear programs. It is shown that a system of fuzzy linear inequalities can be converted to a regular min-max problem. An entropic regularization method is introduced for solving such a problem. Some computational results are included. 1. Introduction. Over the past years, the field of fuzzy linear programming has experienced a great deal of growth [10]. In contrast to classical linear programming problems, fuzzy linear programming problems do not have one unique model. Many variations are possible depending on the assumptions or features of the real situation to be modeled. Various models and approaches have been devised in the literature to deal with the diversity in fuzzy linear programming problems. In this work, we consider solving a fuzzy linear programming problem in view of the system of fuzzy linear inequalities
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