摘要
为了探究物联网运用下的农产品供应链风险特征,以物联网层次结构模型为理论依据辨识农产品供应链风险因素,建立以感知层风险、传输层风险、应用层风险和其它风险4个维度的物联网环境下农产品供应链风险源层次结构模型。针对物联网环境下农产品供应链风险信息缺乏和风险属性的模糊性,运用三角模糊数表述专家语义判断结果,建立了一种基于三角模糊数的物联网环境下农产品供应链风险源分析方法。最后,采用一个算例对所建立的方法进行验证,研究表明,该方法可建立物联网技术下农产品供应链风险源结构模型。
In order to understand the risks of agricultural products supply chain with the application of Internet of things, this paper applied the model of the hierarchical Internet of things to judge the risk factors of agricultural products supply chain, and set up the model of the risk source of agricultural products supply chain based on the perception, transport, application and other risks. In view of the lack of risk information and the fuzziness of risk attributes,the triangular fuzzy number was used to express expert semantic judgment and a kind of risk source analysis method was therefore established based on the triangular fuzzy number of agricultural products supply chain. Finally, a numerical example was used to verify the method. The result showed that this method is feasible and practical in establish the risk sources model of agri-product supply chain based on internet of things.
出处
《新疆大学学报(哲学社会科学版)》
CSSCI
2016年第1期23-27,共5页
Journal of Xinjiang University(Philosophy and Social Sciences)
基金
安徽省自然科学基金项目"面向供应链信息安全的企业反竞争情报系统构建研究"(1508085MG143)
安徽省科技厅软科学研究项目"农产品供应链质量信息系统的构建及保障机制"(1402052072)
安徽科技学院校级科研项目"安徽省农户参与农民专业合作社意愿及影响因素的研究"(SRC2014385)
关键词
物联网
供应链
风险评价
三角模糊数
模糊层次分析
Internet of Things
Supply Chain
Risk Assessment
Triangle Fuzzy Number
Fuzzy Hierarchy Analysis