食品质量链协同系统中的序参量识别研究

发布时间：2018-07-02 22:57

本文选题：食品安全 + 质量链　；参考：《系统工程理论与实践》2017年07期

【摘要】：序参量是协同系统演化中表明系统新结构宏观有序程度的参量.针对食品质量链协同系统中的序参量问题,提出一种基于灰色关联度与属性约简的食品质量链协同系统序参量识别方法.首先,分析序参量原理在食品质量链协同系统中的作用.然后,确定食品质量链协同要素,建立表征食品质量链系统的状态参量,接着提出本文的序参量求解方法.该方法基于灰色关联度定义和求解各状态参量的参量重要度,定义状态参量重叠关系以使属性约简的结果中不存在重叠度较高的状态参量,并在此基础上应用属性约简原理提出序参量求解的具体步骤.最后,将提出的序参量识别方法应用到具体乳制品质量链中,验证了所提出方法的有效性.本文以整个食品质量链为研究对象,首次建立了食品质量链系统的状态参量体系,为解决食品质量安全问题提供理论参考.对食品质量链序参量的识别方法进行改进,丰富了协同学理论及其应用,有利于优化食品质量链系统,预防食品质量问题的出现.
[Abstract]:The order parameter is the parameter which indicates the macroscopic order degree of the new structure of the system in the evolution of cooperative system. To solve the problem of order parameter in food quality chain collaborative system, a method for identifying order parameters of food quality chain collaborative system based on grey correlation degree and attribute reduction is proposed. Firstly, the function of order parameter principle in food quality chain cooperative system is analyzed. Then, the cooperative factors of food quality chain are determined, and the state parameters which represent the food quality chain system are established. This method is based on the definition of grey correlation degree and the importance of calculating the parameters of each state parameter. The overlapping relation of state parameter is defined so that there is no state parameter with high overlap degree in the result of attribute reduction. On the basis of this, the concrete steps of solving the order parameter are put forward by applying the attribute reduction principle. Finally, the proposed order parameter identification method is applied to the dairy product quality chain to verify the effectiveness of the proposed method. In this paper, the state parameter system of the whole food quality chain is established for the first time, which provides a theoretical reference for solving the problem of food quality and safety. The identification method of food quality chain order parameters is improved, which enriches the theory of synergy and its application, and is helpful to optimize the food quality chain system and prevent the emergence of food quality problems.
【作者单位】：南京财经大学管理科学与工程学院;江苏省质量安全工程研究院;
【基金】：国家自然科学基金重点项目(71433006);国家自然科学基金面上项目(71373117);国家自然科学基金青年项目(71401070)~~
【分类号】：F203

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