A hybrid multi-stage decision-making method with probabilistic interval-valued hesitant fuzzy set for 3D printed composite material selection
参考中译:3D打印复合材料选材的概率区间值犹豫模糊集混合多阶段决策方法


          

刊名：Engineering Applications of Artificial Intelligence
作者：Guoquan Xie（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Kui Wang（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Xuan Wu（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Jin Wang（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Tao Li（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Yong Peng（Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University）
Honghao Zhang（Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education), School of Mechanical Engineering, Shandong University）
刊号：738C0174
ISSN：0952-1976
出版年：2023
年卷期：2023, vol.123, no.Pt.C
页码：106483-1--106483-15
总页数：15
分类号：TP18; TP3
关键词：Composite material selection；Harsh environment；PIVHFS；Shapley value；Multiple-criteria decision making；TODIM-TOPSIS
参考中译：复合材料选择；恶劣环境；PIVHFS；Shapley值；多准则决策；TODIM-TOPSIS
语种：eng
文摘：The 3D printed composite material selection is of great interest due to its extensive application prospect and can be considered as a challenging multiple-criteria decision making (MCDM) issue. The hesitation and uncertainty of experts are difficult to measure, and the high degree of interaction among criteria is often overlooked in the decision process. In addition, composites are required to serve in harsh environments for various mechanical and industrial fields, resulting in the degradation of mechanical properties. In this study, a hybrid multi-stage decision-making method is developed to conduct 3D printed composite material selection in harsh environments. The theory of probabilistic interval-valued hesitant fuzzy set (PIVHFS) is proposed to characterize the decision-making information of experts, which can effectively quantify the assessment in uncertain environments. An integrated method that combines Choquet fuzzy integral and Shapley value is proposed to obtain the weight vector of criteria, which can reflect the mutual influence between criteria and their overall importance. The final decision-making result and the optimal alternative can be calculated by the PIVHFS-based Tomada de Decisao Interativa Multicriterio and Technique for order preference by similarity to an ideal solution (TODIM-TOPSIS) method. An empirical application, i.e., 3D printed composites in the background of automotive chassis, is applied to validate the application of the proposed method. Comparative analysis, sensitivity analysis, and managerial implications are also conducted to illustrate the validity of the method. This paper provides a valuable tool for addressing the material selection issue of 3D printed composites from a multi-criteria perspective.
参考中译：三维打印复合材料的选择因其广泛的应用前景而备受关注，是一个具有挑战性的多准则决策问题。专家的犹豫不决和不确定性很难衡量，标准之间的高度互动在决策过程中往往被忽视。此外，复合材料需要在各种机械和工业领域的恶劣环境中使用，从而导致力学性能的退化。本文提出了一种混合多阶段决策方法，用于在恶劣环境下进行3D打印复合材料的选择。提出了概率区间值犹豫模糊集(PIVHFS)理论来刻画专家的决策信息，能够有效地对不确定环境下的评估进行量化。提出了一种将Choquite模糊积分与Shapley值相结合的综合评价指标权重向量的方法，该方法能够反映评价指标之间的相互影响及其整体重要性。最后的决策结果和最优方案可以通过基于PIVHFS的Tomada de Decisao Interativa Multicriterio和相似于理想解的排序优先技术(TODIM-TOPSIS)来计算。以汽车底盘为背景的3D打印复合材料为例，验证了该方法的有效性。通过比较分析、敏感性分析和管理启示，说明了该方法的有效性。本文为从多准则的角度解决3D打印复合材料的选材问题提供了有价值的工具。



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