2022 Vol.5 Jun.No2

• Title: Evaluation model of ship equipment supplier's reputation based on Data Mining
• Name: Johann Coraux1,Guan yuhan2
• Company: 1.Honolulu University,USA 2.Institute of Medical Information & Library，Chinese Academy of Medical Sciences，Editorial Department of modern Chinese doctors Beijing，China 100020
• Abstract:

  The source of ship equipment is very important. The reliability of ship equipment can be guaranteed only by high-precision reputation evaluation of suppliers. The information integration technology used in the traditional ship equipment supplier reputation evaluation model is relatively backward, resulting in the poor ability of information clustering of evaluation indicators. In view of this phenomenon, this paper designs a data mining model to evaluate the reputation of ship equipment suppliers. Obtain the influencing factors of reputation and build the evaluation index system of reputation of ship equipment suppliers. Bayesian classifier is used to classify supplier information into indicators in the indicator system and calculate the weight of indicators. The evaluation model of supplier's reputation is established by using AHP. So far, the evaluation model of ship equipment supplier's reputation based on data mining has been built. Through the reputation evaluation experiment, we can see that the index division ability of this reputation evaluation model is better than the traditional reputation evaluation model. In conclusion, the credibility evaluation model of ship equipment suppliers based on data mining can improve the reliability of equipment procurement.

  
  

• Keyword: Equipment supplier; data mining; reputation evaluation; cluster analysis;
• DOI: 10.12250/jpciams2022090111
• Citation form: Johann Coraux.Evaluation model of ship equipment supplier's reputation based on Data Mining [J]. Computer Informatization and Mechanical System,2022,Vol.5,pp.58-59

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