Rating of catering enterprises based on fuzzy hierarchy and k-means clustering
by Xiaoyang Zheng; Yafeng Chen; Chengting Lin; Wei Zhang; Xinyi Zhou
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 20, No. 1, 2021

Abstract: This paper firstly collects the credit rating data such as food safety discipline, regulatory evaluation and administrative penalties, etc. Secondly, the Fuzzy Analytic Hierarchy Process (FAHP) model is applied to the rating of the catering enterprises. The target level and the criterion level of the FAHP are the grade of the catering enterprises and the integrity degree, compliance and contract practice, respectively. To be specific, the FAHP is implemented to determine the three weights of the criterion level and the nine weights of the index on the third level for the food safety records, regulatory evaluation and administrative licensing information, etc. Thirdly, the credit, compliance and contract practice scores are calculated by the nine weights on the third level of the FAHP. Accordingly, these scores are used to classify catering enterprises into five categories by the k-means clustering approach. Finally, the ranking scores of the five categories can be computed by the scores and the corresponding weights of the five clustering central points. The results of the credit rating are obtained as C1>C4>C3>C5>C2, where C1 and C2 denote the best and worst classification grade for the catering enterprises, respectively.

Online publication date: Wed, 24-Feb-2021

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