APPLICATION OF A NAIVE BAYESIANS CLASSIFIERS IN ASSESSING THE SUPPLIER Cover Image

Primena naivnog Bayesovog klasifikator u ocenjivanju isporučilaca
APPLICATION OF A NAIVE BAYESIANS CLASSIFIERS IN ASSESSING THE SUPPLIER

Author(s): Snežana Mijailović, Đorđe Ilić
Subject(s): Economy
Published by: Visoka škola za poslovnu ekonomiju i preduzetništvo
Keywords: a prior preobability; a posteriori probability;naive Bayesian classifier; reliable supplier

Summary/Abstract: The paper considers the class of interactive knowledge based systems whose main purpose of making proposals and assisting customers in making decisions. The mathematical model provides a set of examples of learning about the delivered series of outflows from three suppliers, as well as an analysis of an illustrative example for assessing the supplier using a naive Bayesian classifier. The model was developed on the basis of the analysis of subjective probabilities, which are later revised with the help of new empirical information and Bayesian theorem on a posterior probability, i.e. combining of subjective and objective conditional probabilities in the choice of a reliable supplier.

  • Issue Year: 5/2017
  • Issue No: 1
  • Page Range: 33-38
  • Page Count: 6
  • Language: Serbian