A design scheme solving support method based on semantic PROMETHEE was proposed to give due considerations to the preference characteristics of decision makers and avoid distortion of fuzzy decision information in the process of product design scheme evaluation and selection. Weight preference function and semantic preference function which measuring the preference of decision makers were defined to improve the limitations of preference function of traditional PROMETHEE method in both type selection and data processing. Through different semantic translation models, the multi-granularity natural semantic hybrid decision information including single type and interval type was translated into equivalent two-tuple type which was taken as fidelity information input for semantic preference function. Then, the basic principle of semantic PROMETHEE method was applied to product design scheme group multi-criteria solving. Finally, a case study of parking system scheme selection was presented to demonstrate the feasibility and validity of this method．
LUO Cheng-dui, FENG Yi-xiong, TAN Jian-rong, AN Xiang-hua. Group multicriteria solving for product design scheme based on semantic PROMETHEE. J4, 2012, 46(3): 524-532.
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