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字典序偏好的军用物资供应商选择方法
引用本文:杨雷,朱彦绮,廖国江.字典序偏好的军用物资供应商选择方法[J].系统工程与电子技术,2015,37(4):825-831.
作者姓名:杨雷  朱彦绮  廖国江
作者单位:华南理工大学工商管理学院, 广东 广州 510640
基金项目:教育部人文社会科学研究规划基金(14YJA630078);广东省自然科学基金(S2012010008924)资助课题
摘    要:军用物资采购的供应商选择是影响军队战斗力的重要因素。分析了军用物资供应商选择中的群体决策特征和专家的字典序偏好特征,提出了一种解决军用物资供应商选择问题的两阶段群体意见集结方法。第1阶段:个体专家的字典序属性偏好集结算法。从个体专家的字典序属性和供应商排序,计算群体的字典序属性偏好。第2阶段:多专家群体对供应商的字典序偏好集结算法。从多专家对供应商的评分值计算群体对供应商的评分值,结合群体的字典序属性偏好,得出群体最终对供应商的民主选择结果。给出了该集结方法应用于某部队装甲车蓄电池供应商选择的实例。所提的供应商选择方法突出了个体专家的字典序偏好特征,弥补了传统层次分析法采用属性简单加权方法的不足。

关 键 词:字典序偏好  群体决策  军用物资  供应商选择

Method based on lexicographic preferences to select military material suppliers
YANG Lei;ZHU Yan-qi;LIAO Guo-jiang.Method based on lexicographic preferences to select military material suppliers[J].System Engineering and Electronics,2015,37(4):825-831.
Authors:YANG Lei;ZHU Yan-qi;LIAO Guo-jiang
Institution:College of Business Administration, South China University of Technology, Guangzhou 510640, China
Abstract:The supplier selection of military material procurement is an important factor that affects the army battle effectiveness. The features of group decision making and experts’ lexicographic preferences are analyzed in the choices of military material suppliers. A two stage group preference aggregation method is proposed to solve the problem of military material suppliers’ selection. The first stage is the aggregation method of individual experts’ lexicographic attribute preferences. According to individual experts’ lexicographic attributes and supplier ranking, the group lexicographic attribute preferences are calculated. The second stage is the aggregation method of group experts’ lexicographic preferences about suppliers. According to the multiple experts’ scores about suppliers, the group scores about suppliers are calculated. Combined with group lexicographic attribute preferences, the final democratic result of the supplier selection is gotten. The proposed method is applied into an example about selection of armored vehicle storage battery supplier in a troop. The method of supplier selection proposed highlights the individual experts’ lexicographic preferences and overcomes the deficiency of the attribute weighted in the traditional analytic hierarchy process.
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