Food Cold Chain Logistics Collaboration System Research Based On Grey Rough Set Methodology

State to the public for security, the people to eat first, eat to be as safe. Food security isclosely related to human survival, but in recent years, the phenomenon of food safety it isnot optimistic. China toxic mildew cooking oil incident, Sudan incident, melamine milkpowder incident; U.S. salmonella incident, peanut butter incident, problem eggs events;Japan’s "White Lovers" chocolate event,"Red-fu" incident, the problem of rice incident. Thisseries of food safety issues so that we deeply reflect on what is causing the "poor economicconditions in the past ’not eat’, but is now better off ’not eat’." Aspects from which to resolveor gradually improve food safety, is a pressing social problem.Food safety and the cause of the accident There are many ways in which the wholeprocess of food distribution cold chain management and quality of the food value chain from"farm-the table," the smooth realization has important practical significance.Food cold chain logistics in China at this stage there are a lot of problems, low efficiency,low efficiency of the food cold chain logistics and cold chain system has led to social andeconomic benefits of double reduction. Paper in view of the food cold chain logistics systemcompared to the general system of common and unique, built on a foundation of systemsscience theory, such as systems theory, self organization theory, control theory,collaborative learning based on theories put forward ideas together in the food cold chainlogistics systems research has important practical applications and strategic guidance.Thesis that the food cold chain logistics system together is the food source from the supplysource to the receiving entity flow, the system all the members in order to ensure the food isalways necessary to maintain its quality controlled temperature environment, throughmutual collaboration, information resources sharing complementary advantages in order toachieve food cold chain of seamless logistics chain, so as to achieve food safety, cold chainlogistics operation to improve efficiency and reduce logistics costs, optimize the foodeconomy, and continuously improve customer satisfaction goals.Papers in the food cold chain logistics system for in-depth collaborative system analysissystem, the first cold chain logistics system to build a food system status parameters, andcomputational analysis of the food cold chain logistics system operating dominant roleplayed key indicators, and finally cold food chain logistics system to evaluate the status ofco-operation.Determined to dominate the literature in the past, and characterization of the keyindicators of the system running under the concept, is the food cold chain logistics systeminputs and outputs between the elements as a completely independent, separated, as agroup do not have the function of the independent state variable system, the distinctionbetween input and output elements of the system without comprehensive assessment of thestate, then the use of objective weighting method in the entropy or the classic rough settheory to determine the weight, the key to solving the system of impact indicators. Thesisthat the output of the system goal is to create synergy in the system input, conversionfoundation. The food cold chain logistics system for collaborative research, we must dig outthe lead-depth analysis of the system output or to achieve operational objectives of the system is the key inputs which then analyzes the food cold chain logistics system to achievesafety, improve logistics efficiency and reduce logistics costs, improve customer satisfaction,how about between goal indicators and associated impact. Based on this, the paperdistinguish between food cold chain logistics system inputs and outputs of the stateparameters of state parameters, the first use of gray correlation analysis, discriminant havea major impact on the system outputs a key input indicators, and further combined with Greyclustering analysis, with the gray modeling software to calculate the absolute correlationbetween the indicators, build target correlation matrix, based on correlation with the criticalvalue of the discriminant clustering results obtained, representing the element of choice todetermine the final status of critical system running order parameter. Further integration ofgray system theory and rough set methodology, structure-based methods of gray rough setmodel to evaluate the integrated system running, innovative solutions such as a simplemethodology based on a rough set theory is difficult to deal with uncertainties such as graydefects. Rough set methodology based on gray paper food cold chain logistics collaborativesystem research has important theoretical and practical significance...