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《China Mechanical Engineering》 2016-17
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Optimization of Product Functional Requirements Based on Fuzzy Information Axiom

Geng Xiuli;Dong Xueqi;University of Shanghai for Science of Technology;  
QFD was employed to translate the customer requirements(CRs)and their importance degrees into product functional requirements and their importance degrees.Based on the information axiom,the function requirement configuration concept with the least amount of information was selected.Triangular fuzzy number was used to deal with the fuzzy QFD information.The relative preference relation analysis was provided to process the QFD calculation,and fuzzy information was used to calculate the imformation of qualitative functional requirements.Considering the compensation relationships among the function requirements.a 0-1non-linear programming model was established with the objective of minimizing the amount of information of function requirements.Finally,an example of product functional requirements optimization for loader was given out to demonstrate the effectiveness of the proposed approach.
【Fund】: 国家自然科学基金资助项目(71301104 71271138);; 高等学校博士学科点专项科研基金资助项目(20133120120002 20120073110096);; 上海市教育委员会科研创新项目(14YZ088);; 上海市一流学科资助项目(S1201YLXK);; 沪江基金资助项目(A14006)
【CateGory Index】: TH186
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