系统管理学报2017，Vol.26Issue(6)：1034-1042,9.
基于误差传递和隶属度的动态灰靶多属性决策
A Dynamic Grey Target Multi-attribute Decision-making Method Based on Error Propagation and Membership Degree
摘要
Abstract
To overcome the deficiencies in existing methods of dynamic multi-attribute decision-making with interval numbers,we propose a novel decision-making method based on error propagation and membership degree.From the perspective of error of attribute values in the form of interval numbers,an error propagation model is applied to determine the intervals of attribute weights.Considering the heterogeneity and volatility of decision-making objectives in the timing sequence,we introduce the concept of time degree,and then establish a multi-objective nonlinear programming model to determine the time weights based on the principle of maximum entropy and minimum variance.Moreover,we calculate the positive and negative off-target distances based on the grey target theory,and aggregate the off-target distances in all of the periods by using relative membership degree,to obtain the ranking of all alternatives.Finally,an example of partner selection is given to illustrate the feasibility and effectiveness of the proposed method.关键词
区间数/误差传递/靶心距/隶属度/动态决策Key words
interval number/error propagation/off-target distance/membership degree/dynamic decision分类
管理科学引用本文复制引用
陈伟,李金秋,杨早立..基于误差传递和隶属度的动态灰靶多属性决策[J].系统管理学报,2017,26(6):1034-1042,9.基金项目
国家社会科学基金资助项目(14BGL007) （14BGL007）
黑龙江省自然科学基金资助项目(G201209) （G201209）
黑龙江省软科学基金资助项目(GY2015RK0074) （GY2015RK0074）
