New Initialization Method of Basic Probability Assignment and Application in Cross-Country Environment Perception

Zhao, Yibing; Li, Linhui; Guo, Lie; Zhang, Mingheng

doi:10.1109/isdea.2010.152

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2012

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“…Z. Zuo et al 2009 [6] proposed a method of rough set theory based on random set and BP neural network to obtain BPA. Z. Yibing et al, 2010 [5] developed method to assign BPA based on fuzzy subordinate. W. Jiang et al, 2011 [7] proposed a new method to obtain BPA based on distance measure between the sample data under test and model of attribute of species.…”

Section: Introductionmentioning

confidence: 99%

Methods to obtain basic Probability Assignment in Evidence Theory

Ali¹,

Dutta²

2012

IJCA

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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.

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Section: Introductionmentioning

confidence: 99%