基于单值中智集和云聚类的产品造型设计决策方法

裴卉宁,谭昭芸,刘鑫宇,田保珍

Decision method for product styling design based on single-valued neutrosophic sets and cloud clustering

Hui-ning PEI,Zhao-yun TAN,Xin-yu LIU,Bao-zhen TIAN

表 3 决策专家 $D_{\rm{M}}^1$对各备选方案在各标准下的一致性比率和置信度得分

Tab.3 Concordance ratio and confidence score of decision-making expert $D_{\rm{M}}^1$ for each alternative under each standard

$B$ $x_1^{\left( {j, 1} \right)}, S_1^{\left( {j, 1} \right)}$ $x_2^{\left( {j, 1} \right)}, S_2^{\left( {j, 1} \right)}$ $x_3^{\left( {j, 1} \right)}, S_3^{\left( {j, 1} \right)}$ $x_4^{\left( {j, 1} \right)}, S_4^{\left( {j, 1} \right)}$ $x_5^{\left( {j, 1} \right)}, S_5^{\left( {j, 1} \right)}$ $x_6^{\left( {j, 1} \right)}, S_6^{\left( {j, 1} \right)}$ ${\text{C} }{\text{.r} }.\left( {{\boldsymbol{R}}_{J \times J}^1} \right)$/% B1 0.102 5, 100 0.413 2, 95 0.050 6, 80 0.152 8, 85 0.247 9, 100 0.032 9, 90 1.99 B2 0.095 5, 85 0.410 6, 65 0.049 1, 45 0.150 5, 60 0.254 6, 75 0.039 6, 75 5.13 B3 0.087 8, 85 0.424 0, 80 0.051 7, 85 0.143 8, 95 0.255 4, 65 0.037 3, 100 3.28 B4 0.096 4, 80 0.411 9, 85 0.049 6, 75 0.145 1, 80 0.255 9, 70 0.041 1, 75 4.96 B5 0.100 8, 95 0.425 6, 100 0.039 1, 90 0.138 4, 85 0.253 7, 95 0.042 5, 70 3.46 B6 0.090 8, 60 0.432 0, 65 0.047 0, 85 0.136 2, 75 0.255 6, 50 0.038 5, 45 7.32 B7 0.096 1, 65 0.424 6, 70 0.049 4, 65 0.142 2, 60 0.255 5, 75 0.032 3, 80 2.76 B8 0.096 3, 85 0.418 4, 100 0.049 4, 80 0.151 5, 90 0.251 2, 60 0.033 2, 85 1.54