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Group multicriteria solving for product design scheme based on semantic PROMETHEE |
LUO Cheng-dui, FENG Yi-xiong, TAN Jian-rong, AN Xiang-hua |
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China |
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Abstract 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.
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Published: 01 March 2012
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基于语义PROMETHEE的产品设计方案群体多准则求解
为了使产品设计方案评价和决策过程充分考虑决策者偏好特征,并避免模糊决策信息的失真,提出基于语义PROMETHEE的设计方案求解支持方法.定义了度量决策者偏好程度的权偏好函数和语义偏好函数,分别改进了传统PROMETHEE方法偏好函数在选型和数据处理上的局限性.对单一类型和区间类型的多粒度自然语义混合决策信息采用不同的语义变换模式,均转化为等效的二元语义类型作为语义偏好函数的保真信息输入.在此基础上,运用语义PROMETHEE方法的基本原理进行产品设计方案群体多准则求解.以停车设备的方案优选为例验证了本方法的可行性.
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