摘要
针对传统供应链绩效评价在指标筛选、权重确定及对样本数据信息挖掘方面的不足,提出一种基于模糊DEMATEL-相关性分析和VIKOR-灰色关联分析的多属性决策模型。首先,为了使筛选工作兼顾专家知识和客观实际,利用模糊DEMATEL-相关性分析对指标进行筛选并确定权重;其次,构建基于VIKOR-灰色关联分析的评价方法,利用改进的综合指标值公式代替原始的公式,从而充分挖掘样本数据信息的内在规律;最后,通过算例及方法对比分析,验证模型的可行性与有效性。
In view of the deficiency of traditional supply chain performance evaluation in index screening, weight and sample data information mining, this article puts forward a multiple attribute decision making model based on fuzzy DEMATEL-correlation analysis and VIKOR-grey relation analysis. Firstly, the fuzzy DEMATEL-correlation analysis is used to screen the indexes and determine the weight in order to take consider of expert knowledge and objective reality in index screening; Secondly, the evaluation method based on the VIKOR-gray correlation analysis is constructed and the original formula is replaced with the improved comprehensive evaluation formula, so as to fully explore the data information of the sample. Finally, the feasibility and effectiveness of the proposed model are verified by the example verification analysis and comparison analysis with other methods.
作者
董文心
王英
张悦
陈燕燕
苏柏林
Dong Wenxin, Wang Ying, Zhang Yue, Chen Yanyan, Su Bolin(School of Engineering, Northeast Agricultural University, Harbin 150030, Chin)
出处
《科技管理研究》
CSSCI
北大核心
2018年第9期191-197,共7页
Science and Technology Management Research
基金
国家社会科学基金项目"农产品供应链中农民专业合作社绩效优化与利益协调机制研究"(13BJY105-1)
教育部博士点基金(新教师类)项目"基于Agent的农业设备系统状态仿真研究"(20132325120022)
黑龙江省博士后启动项目"农业设备系统状态仿真与更新策略研究"(LBH-Q13021)