A Preliminary Study On Farmers' Credit Rating Based On Fuzzy Integral Model

The purpose of this thesis is to build a farmer’s credit ratingsystem, firstly we will examine the status quo of China’s farmer’scredit rating, analyze its characteristics and defects; then throughthe economic income of farmers investigation to get their mainsource of income, this is according to the for farmers to classifydifferent types of farmers adhere to a principle of differentiatedratings, drawing on the basis of the value chain analysis in theagricultural industry in the use and evaluation of the principles ofthe Balanced Scorecard, and strive to establish a reasonable creditindex system; hope through the farmer credit information andanalysis of economic information for farmers on credit scoringtargets, and then do dimensionless index score for handlingmathematical model; farmers and then by constructing a matrixof indicators to take advantage of the specific entropy method forfarmers specific indicators are weighted, while hoping toempower indicators Delphi method, in order to obtain thatobjective and reasonable comprehensive index weights; and useSUGENO CHOQUET fuzzy integral and fuzzy integral in thecredit rating of the construction of a fuzzy comprehensiveevaluation model, the index score and index weights into themodel to obtain a comprehensive evaluation of the final score.Finally, through the two representative households were rated andcompared, performance verification scoring models, as well asfuture farmers credit rating system.