关键词: 功能配置, 质量功能展开, 云模型, 非准确性计算, 信息公理

Abstract: To fully consider the fuzziness and randomness of evaluation information in the process of evaluating product function requirements configuration optimization,a configuration optimization method was proposed based on cloud model.In this process,the linguistic evaluation scale of cloud model was established.The important degrees of Customer Requirements (CRs) and Function Requirements (FRs) were calculated by combing Quality Function Deployment (QFD) and normal cloud.Meanwhile,based on the information axiom,the function requirement configuration concept with least amount of information was selected.For the defect of occurring infinite in the process of fuzzy information axiom calculation,the normal cloud model was used to quantify qualitative functional requirements,and then the information axiom was used to calcuate the information content.By considering the compensation relationships among FRs,the 0-1 non-linear programming model was established by minimizing the amount of information content of FRs based on method of imprecision.An example of product function requirements optimization for loader was given to demonstrate the effectiveness of the proposed approach.

Key words: function configuration, quality function deployment, cloud model, method of imprecision, information axiom