Supplier credit evaluation method and system based on improved EasyEnable algorithm, and storage medium

Abstract

The invention provides a supplier credit evaluation method and system based on an improved EasyEnable algorithm and a storage medium. The method comprises the steps of building an evaluation index system through employing an analytic hierarchy process, and obtaining the related historical data of an enterprise; carrying out normalization processing on the enterprise related historical data, and forming a training set in a data pair form by the processed data and supplier credit evaluation historical scores; recombining the training set to form a plurality of training subsets; obtaining a plurality of prediction results based on the plurality of training subsets and a pre-constructed depth forest model; based on the plurality of prediction results and a pre-constructed hybrid model, carrying out hybrid processing to obtain a threshold theta; and inputting a supplier to be evaluated into the deep forest model, obtaining a predicted value after processing of the deep forest model and thehybrid model, and comparing the predicted value with the threshold theta to obtain an evaluation result. The ensemble learning method has strong representation learning capability and can better adaptto nonlinear characteristics, so that more scientific and accurate evaluation can be made for credit performance of suppliers.

Description

technical field [0001] The present invention relates to the technical field of supplier credit evaluation, in particular to a supplier credit evaluation method, system and storage medium based on an improved EasyEnsemble algorithm. Background technique [0002] The supply chain is composed of parties who directly or indirectly fulfill customer needs, including manufacturers, suppliers, transporters, warehouses, retailers, and customers. All links in the supply chain are connected to each other through logistics, information flow, and capital flow. Driven by the tide of economic globalization, supply chain management capabilities have become one of the core competitiveness of enterprises. There is a collaborative relationship among enterprises in the supply chain, that is, the collaboration between the core enterprise and related enterprises. How to build a solid and long-term relationship between supply chain enterprises is very important to the success of the supply chain. ...

AI Technical Summary

Problems solved by technology

[0003] Considering that the traditional supplier credit evaluation method is to sort out conclusive related reports by the procurement department, it has the disadvantages of an imperfect selection system and relatively large subjective judgments; and with the rapid development of information technology, information flow in the supply chain will accumulate A large amount of data, we can use relevant technologies to analyze these data

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