食品质量链协同系统中的序参量识别研究

Research on order parameter identification of the food quality chain coordination system

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.

Order parameters indicate macro orderly degree of new system structure in the evolution of synergy system. For order parameter in the food quality chain coordination system, order parameter identification method is put forward based on attributes reduction and grey correlation degree. First of all, the role of order parameter principle in food quality chain coordination system is analyzed. Then, the food quality chain coordination elements are determined, and state parameters are established to describe the food quality chain system. Then the order parameter solving method is put forward. Parameter important degree of each state parameter is defined and solved based on grey correlation degree. Overlapping relation of state parameters is defined to make sure that state parameters with higher overlapping degree do not exist, and the specific steps to solve order parameter are put forward based on attribute reduction principle. Finally, the proposed order parameter identification method is applied to the concrete quality chain of dairy products and the effectiveness of the proposed method was verified.