Two-phase approach for solving the fuzzy linear programming problems
作者： Sy-Ming Guua , Yan-Kuen Wu
DOI: 10.1016/S0165-0114(97)00304-7
关键词: Decision maker 、 Interpretation (logic) 、 Linear-fractional programming 、 Resource (project management) 、 Mathematics 、 Mathematical optimization 、 Two phase approach 、 Degree (graph theory) 、 Fuzzy linear programming 、 Fuzzy number 、 Artificial intelligence
摘要: We propose a two-phase approach to solve the fuzzy linear programming problem. Although several methods in literature have been proposed treat this problem, has merit stated as: if decision maker is seeking an efficient solution which can improve max-min operators' so that each membership degree should be improved, then method automatically attains desire there room improve. An interpretation of result not just pursue highest objective, but also better utilization constrained resource.
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