考虑多阶段决策信息集结的新算法及其应用  

A new algorithm for aggregating interval information of multistage decision making problems and its application

作　　者：李静[1] 张玉林[1] LI Jing;ZHANG Yulin(School of Economics and Management,Southeast University,Nanjing 211189,China)

机构地区：[1]东南大学经济管理学院

出　　处：《浙江大学学报（理学版）》2019年第4期439-444,共6页Journal of Zhejiang University（Science Edition）

基　　金：国家自然科学基金资助项目(71671036,71171046);江苏省高校哲学社会科学研究重大项目(2018SJZDA005);江苏省研究生科研与实践创新计划项目(KYCX19_0129)

摘　　要：针对多阶段区间信息集结与决策问题,提出一种考虑最小化集结矩阵与阶段区间矩阵之间距离的新方法,寻求更趋近帕累托最优的集结结果,使最终评价值更符合多阶段评价的目标。首先,根据多阶段专家评价值将区间信息转化为二维坐标点,并将其映射到二维坐标系中。然后,构建区间信息离差最小化集结模型,并基于植物模拟生长算法(PGSA)进行群体判断信息的集结,再通过合成各方案的属性评价值,给出各决策方案的综合评价值并进行排序,进而给出最优决策方案。最后,以物流服务商的多阶段绩效评价为例,验证了该方法的合理性和有效性。A new method is proposed to multistage interval information aggregation and decision making. This method considers minimizing the distance between the aggregation matrix and multistage interval matrices. The method aims to seek the aggregation result which is closer to Pareto optimum so as to make the final evaluation value more in line with the goal of multistage evaluation. Firstly, the interval information is converted into two dimensional coordinate points according to the multistage expert evaluation values, and then these points are mapped to planar reference frame. Next, the dispersion minimization aggregation model is constructed and solved by plant simulation growth algorithm. Later, the ranking of each decision plan is given by synthesizing the attribute evaluation values of each plan and then the optimal decision plan is given. Finally, the comprehensive evaluation values and the rationality and effectiveness of the method are verified by the example of the multistage performance evaluation of the logistics service providers.

关 键 词：区间信息 二维坐标点 植物模拟生长算法 物流服务商 

分 类 号：C934[经济管理—管理学]