Fuzzy Ratings and Utility Analysis in Preliminary Design Evaluation of Multiple Attributes
Fuzzy Ratings and Utility Analysis in Preliminary Design Evaluation of Multiple Attributes
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DOI：
10.1115/1.2917056
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发表时间：
1992-12
影响因子：
3.3
通讯作者：
D. Thurston;J. Carnahan
中科院分区：
文献类型：
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作者：
D. Thurston;J. Carnahan
在初步设计阶段的多个属性的评估程序是必要的，以发展一个更正式的理论和设计方法。在本文中，我们规定，演示和比较两个这样的技术：模糊集分析和多属性效用分析。我们分析的问题，初步材料选择的汽车保险杠梁来说明这两个分析程序的应用。初步评估不相称的性能措施的重量，成本，形状限制，刚度和腐蚀钢和聚合物复合材料的替代品。模糊分析很容易适应设计评价的语义评估的基础上，相对属性的水平，虽然它也可以采用的信息，这是完全数字。相比之下，效用分析需要大量的数字量化。对于所研究的例子，两种方法的替代品的顺序排序是相同的。建议包括在初步设计评估的最早阶段或仅限于设计决策者的语义输入的情况下使用模糊分析。效用分析可用于初步设计的后期阶段，其中属性水平的数值量化是可能的，并且决策者能够以标准方式评估单个属性效用函数。效用分析的结果可用于量化属性级别之间可接受的设计权衡，并可用于迭代设计过程的后续阶段。
A procedure for evaluation of multiple attributes in the preliminary design stage is necessary to the development of a more formal theory and methodology of design. In this paper we prescribe, demonstrate, and compare two such techniques: fuzzy set analysis and multiattribute utility analysis. We analyze the problem of preliminary material selection for an automotive bumper beam to illustrate the application of both analytical procedures. Preliminary assessment of incommensurate performance measures of weight, cost, shape restriction, stiffness, and corrosion are made for steel and polymer composite alternatives. Fuzzy analysis readily accommodates design evaluation based on semantic assessment of relative attribute levels, although it can also employ information which is entirely numerical. In contrast, utility analysis requires considerable numerical quantification. For the example studied, the ordinal ranking of alternatives was the same for both methods. Recommendations include using fuzzy analysis in the earliest stages of preliminary design evaluation or in situations limited to semantic input from design decision makers. Utility analysis may be used in later stages of preliminary design, where numerical quantification of attribute levels is possible and when decision makers are able to assess the individual attribute utility functions in the standard way. The results of utility analysis can be used to quantify acceptable design tradeoffs between attribute levels and can be used in later stages of the iterative design process.