Application of a naive Bayesians classifiers in assessing the supplier

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 o...

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Main Authors: Mijailović Snežana, Ilić Đorđe
Format: Article
Language:English
Published: Visoka poslovna škola strukovnih studija Prof. dr Radomir Bojković, Kruševac 2017-01-01
Series:Trendovi u Poslovanju
Subjects:
Online Access:http://scindeks-clanci.ceon.rs/data/pdf/2334-816X/2017/2334-816X1701033M.pdf
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author Mijailović Snežana
Ilić Đorđe
author_facet Mijailović Snežana
Ilić Đorđe
author_sort Mijailović Snežana
collection DOAJ
description 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.
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institution Kabale University
issn 2334-816X
2334-8356
language English
publishDate 2017-01-01
publisher Visoka poslovna škola strukovnih studija Prof. dr Radomir Bojković, Kruševac
record_format Article
series Trendovi u Poslovanju
spelling doaj-art-3d2d1e3f0fb84b49a8790345f04075842025-02-10T19:38:25ZengVisoka poslovna škola strukovnih studija Prof. dr Radomir Bojković, KruševacTrendovi u Poslovanju2334-816X2334-83562017-01-0151333810.5937/trendpos1701033M2334-816X1701033MApplication of a naive Bayesians classifiers in assessing the supplierMijailović Snežana0Ilić Đorđe1Visoka poslovna škola strukovnih studija “Prof. dr Radomir Bojković”, KruševacVisoka poslovna škola strukovnih studija “Prof. dr Radomir Bojković”, KruševacThe 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.http://scindeks-clanci.ceon.rs/data/pdf/2334-816X/2017/2334-816X1701033M.pdfa prior probabilitya posteriori probabilitynaive Bayesian classifierreliable supplier
spellingShingle Mijailović Snežana
Ilić Đorđe
Application of a naive Bayesians classifiers in assessing the supplier
Trendovi u Poslovanju
a prior probability
a posteriori probability
naive Bayesian classifier
reliable supplier
title Application of a naive Bayesians classifiers in assessing the supplier
title_full Application of a naive Bayesians classifiers in assessing the supplier
title_fullStr Application of a naive Bayesians classifiers in assessing the supplier
title_full_unstemmed Application of a naive Bayesians classifiers in assessing the supplier
title_short Application of a naive Bayesians classifiers in assessing the supplier
title_sort application of a naive bayesians classifiers in assessing the supplier
topic a prior probability
a posteriori probability
naive Bayesian classifier
reliable supplier
url http://scindeks-clanci.ceon.rs/data/pdf/2334-816X/2017/2334-816X1701033M.pdf
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AT ilicđorđe applicationofanaivebayesiansclassifiersinassessingthesupplier