Journals Information
Computer Science and Information Technology Vol. 3(5), pp. 214 - 218
DOI: 10.13189/csit.2015.030506
Reprint (PDF) (93Kb)
A New Similarity Measure for Combining Conflicting Evidences
Nadeem Salamat 1, Nadeem Akhter 2,*
1 Department of Mathematics & Statistics, Karakoram International University, Gilgit- Pakistan
2 Department of Computer Science and Information Technology, The Islamia University, Bahawalpur- Pakistan
ABSTRACT
In Dempster-Shafer (DS) theory, multiple information from the distinct information sources is combined to obtain a single Basic Probability Assignment (BPA) function. The well-known combination rule of Dempster-Shafer (DS) provides the weaker solution to the management of conflicting information at the normalization stage. Even this rule fails and provides the counter intuitive results while combining the highly conflicting information. This paper presents a new similarity measure for the combined average methods, where any distance measure between the body of information can be used. The numerical examples provide the promising and better intuitive results.
KEYWORDS
Similarity Measures, Distance Based Similarity Measure, Combined Averages Rule, Dempster Shafer Combination Rule, Distance Based Combination Rule
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Nadeem Salamat , Nadeem Akhter , "A New Similarity Measure for Combining Conflicting Evidences," Computer Science and Information Technology, Vol. 3, No. 5, pp. 214 - 218, 2015. DOI: 10.13189/csit.2015.030506.
(b). APA Format:
Nadeem Salamat , Nadeem Akhter (2015). A New Similarity Measure for Combining Conflicting Evidences. Computer Science and Information Technology, 3(5), 214 - 218. DOI: 10.13189/csit.2015.030506.