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Reseach Article

Methods to obtain basic Probability Assignment in Evidence Theory

by Tazid Ali, Palash Dutta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 4
Year of Publication: 2012
Authors: Tazid Ali, Palash Dutta
10.5120/4680-6802

Tazid Ali, Palash Dutta . Methods to obtain basic Probability Assignment in Evidence Theory. International Journal of Computer Applications. 38, 4 ( January 2012), 46-51. DOI=10.5120/4680-6802

@article{ 10.5120/4680-6802,
author = { Tazid Ali, Palash Dutta },
title = { Methods to obtain basic Probability Assignment in Evidence Theory },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 4 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 46-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number4/4680-6802/ },
doi = { 10.5120/4680-6802 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:43.253750+05:30
%A Tazid Ali
%A Palash Dutta
%T Methods to obtain basic Probability Assignment in Evidence Theory
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 4
%P 46-51
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Dempster-Shafer Theory (DST) of Evidence is a powerful and flexible mathematical tool for handling uncertainty, impreciseness, and incomplete information. It can be used when both epistemic and aleatory uncertainties are present in the problem under consideration. The fundamental and important object of this theory of evidence is the primitive function called basic probability assignment (bpa). In the absence of empirical data, experts in related fields provide necessary information (bpa). However how to obtain BPA is still an open issue. In this paper, we propose methods to determine BPA when only the minimum, maximum and most likely values of the parameter are known. An example is illustrated to demonstrate and check the efficiency of the proposed methods. We have also developed an extended version of uncertainty measurement in evidence theory in order to calculated total uncertainty in the body of evidence obtained by the proposed methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Evidence Theory Basic Probability Assignment Fuzzy Set