Application of a naive Bayesians classifiers in assessing the supplier
| Autor: | Mijailović Snežana, Ilić Đorđe |
|---|---|
| Jazyk: | English<br />Serbian |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Trendovi u Poslovanju, Vol 5, Iss 1, Pp 33-38 (2017) |
| Druh dokumentu: | article |
| ISSN: | 2334-816X 2334-8356 |
| DOI: | 10.5937/trendpos1701033M |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|