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Abstract
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Article Information:
A Novel D-S Combination Method for Interval-valued Evidences
Ying Yan and Bin Suo
Corresponding Author: Ying Yan
Submitted: November 13, 2012
Accepted: April 02, 2013
Published: August 05, 2013 |
Abstract:
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D-S evidence theory is widely applied to the fields of information fusion, pattern recognition, decision analysis and other fields. When information are given as interval numbers with high conflicting evidences, traditional combinations rules may result in antinomy that some evidences are discarded while conflict factor is zero. To avoid this inconsequence, a method of disjointing algorithm is proposed to reallocate the focal elements and their basic probability assignments for intersecting intervals. Then the weighted average method is used to combine the evidences. Simulation results show that the proposed method can get more reasonable results in combining interval-valued evidences.
Key words: Combination rules, D-S evidence theory, disjointing algorithm, interval numbers, , ,
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Abstract
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Cite this Reference:
Ying Yan and Bin Suo, . A Novel D-S Combination Method for Interval-valued Evidences. Research Journal of Applied Sciences, Engineering and Technology, (13): 2326-2331.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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