计算机工程与科学2018，Vol.40Issue(4)：757-764,8.DOI:10.3969/j.issn.1007-130X.2018.04.025
制造企业供应商排序决策:基于SVM和TFN-RS的改进TOPSIS
Vendors sequencing for manufacturing enterprise: Improved TOPSIS based on SVM and trapezoidal fuzzy number-rough set method
摘要
Abstract
Considering the green connotation of manufacturing enterprise supply chain,an indicator system of vendors sequencing is established.To solve the problems such as large index number,complex calculation,and coordination difficulties,an improved TOPSIS based on SVM and trapezoidal fuzzy number-rough set method is proposed.According to the main data,a SVM-based classification model is applied for the preliminary screening of candidate vendors.Through the investigation and mastery of experts to the indicators of criteria,a trapezoidal fuzzy number-rough set method is designed to calculate the value of a vendor in the criteria by using the wisdom and experience of experts.The criteria weight is determined by CRITIC.Finally,the vendors are sequenced by the improved TOPSIS replacing Euclidean distance with relative entropy.An example of ball vendors sequencing decision of a bearing manufacturing enterprise is used to verify the practical effect of this method.关键词
供应商排序/SVM/模糊数/粗糙集/TOPSISKey words
vendors sequencing/SVM/fuzzy number/rough set/TOPSIS分类
机械制造引用本文复制引用
李联辉,王丽,雷婷,丁少虎..制造企业供应商排序决策:基于SVM和TFN-RS的改进TOPSIS[J].计算机工程与科学,2018,40(4):757-764,8.基金项目
宁夏自然科学基金(NZ17113) （NZ17113）
