基于二元语义信息公理的汽车零件材料选择

针对汽车零件材料优选过程中评价信息具有的主观性和不确定性情况，提出了一种基于二元语义信息公理的汽车零件材料选择方法。该方法将各专家语言评价信息转化为二元语义形式并使用二元语义信息集结算子分别得到群组二元语义决策矩阵和群组二元语义指标权重向量，从而确定指标主客观组合权重向量；依据信息公理思想分别计算各汽车零件材料的二元语义信息量，从而根据信息量大小对汽车零件材料进行排序和选优。最后，通过汽车仪表板材料遴选案例验证了该方法的可行性与有效性。

Material Selection of Automotive Components Based on Information Axiom with 2-Tuple Linguistics

To deal with the problems that evaluation informations were subjective and uncertain in automotive component material selection processes, an automotive component material selection approach based on information axiom with 2-tuple linguistic was proposed. Firstly, the method converted the linguistic assessment informations of each expert to 2-tuple linguistic, the group's 2-tuple linguistic decision matrix and the attribute weight vector were calculated according to the 2-tuple linguistic aggregation operator, and the attribute combination weight vector was determined. Then the 2-tuple linguistic information contents of automotive component materials were calculated based on information axiom, consequently, the rank results and selection of automotive component materials were obtained with information contents. Finally, an example of material selection for instrument panel shows the effectiveness and feasibility of the proposed method.