A fuzzy multi-objective decision support system for nonwoven products experiment design

Publication Type:
Conference Proceeding
Citation:
World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference, 2008, pp. 787 - 792
Issue Date:
2008-12-01
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Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of modeling nonwoven-based resilient product experiment design, we first obtain the parameter values of objectives functions from a set of experiments. As these parameter values are in the form of distributions, we transfer them into membership functions and then formulate a FMOLP model. We finally develop a fuzzy multi-objective decision support system (FMODSS) to present this model and get a solution of this problem.
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