A case-based distance approach to agricultural product's vendor evaluation in e-commerce

Abstract

With the rapid development of agricultural product's sell via e-commerce in China, suppliers or vendors evaluation of agricultural products become very important for customers. The paper proposes an evaluation model using a case-based distance approach to vendor evaluation employing the ranking decision in MCDA. The proposed method utilizes the available prior evaluation information as a case set to produce a case-based distance method to handle a multiple-criteria ranking decision more efficiently and effectively. The model is flexible to construct that could simplify and improve the current model of vendor evaluation of agricultural products. A numerical example is used to demonstrate the proposed procedure and proved to be effective.