Multidimensional analysis model of agricultural product supply chain competition based on mean fuzzy

Article type: Research Article

Authors: Chen, Jing^{; *}

Affiliations: School of Economics and Management, Jinhua Polytechnic, Jinhua, China

Correspondence: [*] Corresponding author. Jing Chen, School of Economics and Management, Jinhua Polytechnic, Jinhua, China. E-mail: [email protected].

Abstract: Efficient and reliable fresh agricultural products supply chain is the key to meet the demand of consumers for fresh agricultural products, and also the guarantee for suppliers to realize their economic benefits. Therefore, a multi-dimensional analysis model of agricultural products supply chain competition based on fuzzy mean value is proposed. Firstly, the information distribution model of multi-dimensional analysis of agricultural product supply chain competition is proposed. On this basis, the multi-dimensional analysis information scheduling fusion of agricultural product supply chain competition is processed. Then, the application of mean value fuzzy in agricultural product supply chain is analyzed. According to the identification module of agricultural product information code, the fuzzy comprehensive evaluation model of supply chain and the mean fuzzy analytic hierarchy process, the competition of agricultural product supply chain is established Dimension analysis model. The experimental results show that the performance score of agricultural product supply chain is higher, the accuracy of supply chain information diagnosis is higher, and the clustering of agricultural product supply chain information diagnosis is better.

Keywords: Mean fuzzy, agricultural product supply chain, competition multidimensional analysis model, mean fuzzy analytic hierarchy process

DOI: 10.3233/JIFS-210962

Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 2, pp. 3591-3602, 2021