Abstract
Abstract In this study, we propose a revised version of our previous interactive fuzzy linear programming. Interactive fuzzy linear programming — II (IFLP-II) integrates all possible situations of fuzzy linear programming problems, and further provides a decision support system for improving the flexibility and robustness of linear programming techniques. The interactive concept provides a learning process about the system, whereby the decision maker can learn to recognize good solutions, the relative importance of factors in the system and then, design a high-productivity system, instead of optimizing a given system.
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