A fuzzy goal approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters

Publication Type:
Conference Proceeding
Citation:
Applied Computational Intelligence - Proceedings of the 6th International FLINS Conference, 2004, pp. 304 - 307
Issue Date:
2004-12-01
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Many business decisions can be modeled as multiple objective linear programming (MOLP) problems. When formulating a MOLP problem, objective functions and constraints involve many parameters which possible values are assigned by the experts who are often imprecisely or ambiguously known. So, it would be more appropriate for these parameters to be represented by fuzzy numbers. In this paper, a new fuzzy goal approximate algorithm is developed for solving fuzzy multiple objective linear programming (FMOLP) problems with fuzzy parameters when the fuzzy goals for the objective functions need to be achieved. And an illuminative example is also given to illustrate the algorithm developed.
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