INTERACTIVE FUZZY LINEAR-PROGRAMMING

In this study, an interactive fuzzy linear programming approach is investigated to improve the flexibility and robustness of linear programming (LP) technique. This paper provides a practical modelling method which is a symmetric integration of Zimmermann's, Werners's, Verdegay's and Chanas's fuzzy LP approaches and additionally provides a decision support system for solving a specific domain of practical LP problems. The interactive concept provides a learning process about the system, whereby the decision maker can learn to recognize good solutions, relative importance of factors in the system and then, design a high-productivity system, instead of optimizing a given system. This interactive fuzzy LP system provides integration-oriented, adaptation and learning features by considering all the possibilities of a specific domain of LP problems which are integrated in logical order using an IF-THEN rule.