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

Abstract

Abstract:

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.

Key words: automotive component, material selection, 2-tuple linguistic, information axiom, combination weighting, multiple attribute group decision making

摘要：

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。

关键词: 汽车零件, 材料选择, 二元语义, 信息公理, 组合权重, 多属性群决策

CLC Number:

TB11
C934

Wang Haolun, Xu Xiangbin, Zhou Ermin. Material Selection of Automotive Components Based on Information Axiom with 2-Tuple Linguistics[J]. China Mechanical Engineering, 2015, 26(23): 3172-3177.

王浩伦, 徐翔斌, 周尔民. 基于二元语义信息公理的汽车零件材料选择[J]. 中国机械工程, 2015, 26(23): 3172-3177.

References

[1]Prashant R G, Gupta N. Material Selection for Microelectronic Heat Sinks: an Application of the Ashby Approach[J]. Material & Design, 2010, 31(1): 113-117.
[2]Parate O, Gupta N. Material Selection for Electrostatic Microactuators Using Ashby Approach[J]. Material & Design, 2011, 32(3): 1577-1581.
[3]Mayyas A, Shen Q, Shan D, et al. Using Quality Function Deployment and Analytical Hierarchy Process for Material Selection of Body-in-White[J]. Material & Design, 2011, 32(5): 2771-2781.
[4]周长春, 殷国富,胡晓兵,等. 面向绿色设计的材料选择多目标优化决策[J]. 计算机集成制造系统, 2008, 14(5): 1023-1028.
Zhou Changchun, Yin Guofu, Hu Xiaobing, et al. Multi-objective Optimization Decision-making of Material Selection Oriented to Green Design[J]. Computer Integrated Manufacturing Systems, 2008, 14(5): 1023-1028.
[5]施平,于华,黎春. 基于神经网络的注塑模具材料选择系统[J].哈尔滨工业大学学报, 2001, 33(1): 28-31.
Shi Ping, Yu Hua, Li Chun. A Neural Network-based Injection Mold Material Selection System[J]. Journal of Harbin Institute of Technology, 2001, 33(1): 28-31.
[6]Kanika P, Shankar C. A Quality Function Deployment-based Materials Selection[J]. Materials & Design, 2013, 49(8): 525-535.
[7]蓝元沛,孟庆春,李锋,等. 基于多属性效用理论的飞机设计选材方法[J]. 航空材料学报, 2010, 30(3): 88-94.
Lan Yuanpei, Meng Qingchun, Li Feng, et al. Aircraft Design Material-selection Method Based on MAUT Theory[J]. Journal of Aeronautical Materials, 2010, 30(3): 88-94.
[8]Shanian A, Savadogo O. TOPSIS Multiple-Criteria Decision Support Analysis for Material Selection of Metallic Bipolar Plates for Polymer Electrolyte Fuel Cell[J]. Journal of Power Sources, 2006, 159(2):1095-1104.
[9]Rathod M K, Kanzaria H V. A Methodological Concept for Phase Change Material Selection Based on Multiple Criteria Decision Analysis with and without Fuzzy Environment[J]. Material & Design, 2011, 32(6):3578-3585.
[10]Chatterjee P, Athawale V M, Chakraborty S. Material Selection Using Complex Proportional Assessment and Evaluation of Mixed Data Methods[J]. Material &Design, 2011, 32(2): 851-860.
[11]Maity S R, Chatterjee P, Chakraborty S. Cutting Tool Material Selection Using Grey Complex Proportional Assessment Method[J]. Material & Design, 2012, 36(4): 372-378.
[12]Chan J K, Tong T L. Multi-criteria Material Selections and End-of-life Product Strategy: Grey Relational Analysis Approach[J]. Materials & Design, 2007, 28(5): 1539-46.
[13]Jeya G R, Vinodh S. Application of Fuzzy VIKOR and Environmental Impact Analysis for Material Selection of an Automotive Component[J]. Materials & Design, 2012, 37(5): 478-86.
[14]彭安华, 岳睿. 基于Choquet积分的材料选择混合关联多属性决策[J]. 机械设计与研究, 2013, 29(4): 93-98.
Peng Anhua, Yue Rui. Hybrid Multi-attribute Decision-making (HMADM) for Material Selection Using Choquet Integral[J]. Machine Design and Research, 2013, 29(4): 93-98.
[15]王雁,黄海鸿, 刘光复. 基于集对分析的绿色设计材料选择多属性决策研究[J].液压与机床, 2011, 39(21): 128-131.
Wang Yan, Huang Haihong, Liu Guangfu. Research on Multi-attribution Decision Making of Material Selection in Green Design Based on Set Pair Analysis[J]. Machine Tool & Hydraulics, 2011, 39(21): 128-131.
[16]Zhang S. A Model for Evaluating Computer Network Security Systems with 2-tuple Linguistic Information[J]. Computers & Mathematics with Applications, 2011, 62(4): 1916-1922.
[17]Herrera F, Martine L. A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words[J]. IEEE Trans on Fuzzy Systems, 2000, 8(6):746-752.
[18]Zhang X, Yue G, Zheng G X J, et al. Assigning Method for Decision Power Based on Linguistic 2-tuple Judgment Matrices[J]. Journal of Software, 2011, 6(3): 508-515.
[19]姜艳萍, 樊治平. 二元语义信息集结算子的性质分析[J]. 控制与决策, 2003, 18(6): 754-757.
Jiang Yanping, Fan Zhiping. Property Analysis of the Aggregation Operators for Two-tuple Linguistic Information[J]. Control and Decision, 2003, 18(6): 754-757.
[20]Wang W P. A Fuzzy Linguistic Computing Approach to Supplier Evaluation[J]. Applied Mathematical Modelling, 2010, 34(10): 3130- 3141.
[21]Sun N P. Axiomatic Design: Advances and Applications[M]. London: Oxford University Press, 2001.
[22]尤后兴, 林杰. 决策信息为区间数的多属性群决策方法[J]. 西南交通大学学报, 2012, 47(4): 712-718.
You Houxing, Lin Jie. Multi-attribute Group Decision-making Method for Interval Number Decision Information[J]. Journal of Southwest Jiaotong University, 2012, 47(4): 712-718.
[23]Kulak O, Kahraman C. Fuzzy Multi-attribute Equipment Selection Based on Information Axiom[J]. Journal of Materials Processing Technology, 2005, 169(3):337-345.