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Abstract

Fuzzy Linear Programming models and methods has been one of the most and well studied topics inside the broad area of Soft Computing. Its applications as well as practical realizations can be found in all the real world areas. In this paper a basic introduction to the main models and methods in fuzzy mathematical programming، with special emphasis on those developed by the authors، is presented. As a whole، Linear Programming problems with fuzzy costs، fuzzy constraints and fuzzy coefficients in the technological matrix are analyzed. Finally، future research and development lines are also pointed out by focusing on fuzzy sets based heuristic algorithms