Study on Method for Triangular Fuzzy Number-Based Multi-Attribute Decision Making With Preference Information on Alternatives

XU Ze · Systems engineering and electronics · 2002

We study the multi attribute decision making problem, in which the attribute weight information is incomplete, and the elements in decision making matrix and subjective preference values are triangular fuzzy numbers, and propose a similarity degree based method for triangular fuzzy number based multi attribute decision making with preference information on alternatives By using this method, a linear programming model is established firstly, and the attribute weights are derived by solving this model, then, based on a possibility degree formula for comparing two triangular fuzzy numbers and a formula for priorities of complementary judgement matrix, a priority method for alternatives is presented Finally, a numerical example is given. \;

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