Enterprise pre-cooperative partner classification method based on SVM (support vector machine)

Abstract

The invention relates to the technical field of mode recognition, and provides an enterprise pre-cooperative partner classification method based on an SVM (support vector machine). The method comprises the steps: 100, building a sample set; 200, building a classifier for enterprise pre-cooperative partners; 300, carrying out the training of the classifier for the enterprise pre-cooperative partners through a trained sample; 400, carrying out the performance assessment of the trained classifier for the enterprise pre-cooperative partners through employing a test sample; 500, carrying out the classification of the data of the enterprise pre-cooperative partners through the trained classifier for the enterprise pre-cooperative partners. The method is simple in implementation, is especially suitable to be used for judging whether a candidate partner is suitable for cooperation or not in enterprise information, can effectively reduce the manual decision-making time, and improves the decision-making intelligentization.

Description

technical field [0001] The invention relates to the technical field of pattern recognition, in particular to a support vector machine-based enterprise pre-partner classification method. Background technique [0002] At present, partners are a strategy to help companies increase their competitiveness in the global market. Lack of evaluation of partners is the main reason for cooperation failure. Since there are many factors that affect partner selection, they are interrelated and restrict each other, making it possible to judge whether a partner is suitable for cooperation needs. Do a lot of calculations. At the same time, in the partner search stage, the number of partners obtained through the search tool may be very large, and it is impossible to completely screen them manually. Therefore, it is very necessary to consider using computers as an auxiliary tool to carry out necessary intelligent auxiliary decision-making for business partner decision-making problems. , so as ...

AI Technical Summary

Problems solved by technology

[0003] The present invention mainly solves the technical problem that in the prior art, manual screening of enterprise pre-partners is used, but an efficient and scientific enterprise pre-partner classification tool is lacking, and a scientific basis cannot be provided for the decision-making of enterprise partners, and a support vector machine-based approach is proposed. Enterprise pre-partner classification method, in order to achieve intelligent auxiliary decision-making for enterprise partner decision-making problems, and provide beneficial decision support for decision-makers

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