Intelligent Evaluation Model Based on Index System of Agricultural Industrial Chain

Abstract

The whole agricultural industry chain is the breakthrough to develop the agricultural industry. In order to meet the needs of the optimized development of the agricultural industry, an intelligent evaluation model based on the index system of the whole agricultural industry chain is constructed. The kernel K-means clustering algorithm was used to mine the data of the whole agricultural industry chain from the big data platform of the whole agricultural industry chain. According to the clustering results, the index system of the whole agricultural industry chain was constructed, including five one-level indicators, including agricultural production index, technology extension index, information index, marketization index and risk guarantee index. The information entropy theory is used to calculate the weight of each index in the index system of the whole agricultural industry chain. According to the weight calculation results, the fuzzy comprehensive evaluation method is used to build an intelligent evaluation model, and the evaluation results of the development of the whole agricultural industry chain are output. Select agricultural area as the research object, the empirical analysis results show that the study area of agricultural industrial chain development evaluation result is 70 points, including customer service satisfaction, agricultural raw materials base size is weak in the whole industry chain development indicators, 2012–2019 study area of agricultural development of whole industry chain shows rising trend year by year.

Keywords

• Agricultural whole industrial chain
• fuzzy comprehensive evaluation
• index system
• intelligent
• evaluation model
• information entropy theory