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基于动态直觉模糊VIKOR群决策的冷链供应商选择研究 被引量:6

Research on Cold Chain Logistics Supplier Selection Based on Dynamic Intuitionistic Fuzzy VIKOR Group Decision-making Model
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摘要 冷链物流下游企业(客户)选择高质量的供应商是一个复杂的动态决策过程。该动态决策过程针对有限的潜在供应商,在多个阶段基于动态直觉模糊理论和多准则折衷排序解法(VIKOR),构建多专家参与的群决策模型。文章首先介绍了直觉模糊集的相关理论、算子及距离测度公式,接着结合VIKOR决策方法构建了基于动态直觉模糊VIKOR群决策模型,并对冷链物流供应商选择的决策流程进行规划,然后通过实证及文献研究,选取响应能力、运输水平、客户服务等指标构建冷链物流供应商选择的评价指标体系,最后通过算例对某冷链物流供应商进行决策评价。 The selection of high quality suppliers for downstream enterprises(customers) in cold chain logistics is a complex dynamic decision process, whose main task is to construct a group decision-making model participated by experts based on dynamic intuitionistic fuzzy theory and multi-criteria compromise algorithm(VIKOR) in multi- periods for finite potential suppliers. This paper firstly introduces the related theory of intuitionistic fuzzy sets, operators and distance measurement formula. Then, it constructs group decision-making model combined with VIKOR decision-making method and designs the decision-making process for the selection of cold chain logistics suppliers. After choosing some indicators such as responsiveness, transportation, customer service level to establish the evaluation indicator system for cold chain logistics supplier selection, it finally presents the decision-making evaluation process for some cold chain logistics supplier with illustrative examples and literature review.
出处 《华东交通大学学报》 2015年第5期65-72,共8页 Journal of East China Jiaotong University
基金 国家自然科学基金项目(71271070) 广西特色专业及课程一体化建设资助项目(GXTSZY016) 教育部本科教学工程地方高校专业综合改革试点项目(ZG0429)
关键词 直觉模糊 多准则折衷排序解法(VIKOR) 冷链物流 供应商选择 多属性群决策 intuitionistic fuzzy set VIKOR cold chain supplier selection group decision-making
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