Enterprise supply chain risk assessment based on the support vector machine algorithm and fuzzy model

HIGHLIGHTS

• who: Xiaoni, Zhang and Xi'an, from the Peihua University, Shaanxi, China have published the article: Enterprise Supply Chain Risk Assessment Based on the Support Vector Machine Algorithm and Fuzzy Model, in the Journal: Security and Communication Networks 3 2.5 of 21/07/2022
• what: The SVM is used to limit the model, but decision theory (automatic relevance determination, ARD) is utilized to generate a more sparse model than the SVM.
• how: As a continuation of the SVM algorithm from the previous paper this paper proposes an enhanced SVM algorithm that uses . . .
  

   

  

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