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A MASS ASSIGNMENT ALGORITHM FOR DEMPSTER-SHAFER APPROACH
Date
2014-04-25
Author
Turhan, Hasan Ihsan
Demirekler, Mübeccel
Gunay, Melih
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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In this work, a new methodology is proposed for probability mass assignment to be used in Dempster-Shafer approach. The approach is developed for the cases where the prior and the current information are represented by probability density functions. Masses are assigned by comparing the prior and the current probability density functions which are assumed to be Gaussian. The proposed method is tested by artificial data and compared with the method given in [13] which is most similar to the proposed one in the literature.
Subject Keywords
Decision making
,
Classification
,
Dempster-Shafer Theory
,
Basic mass (or belief or probability) assignment
URI
https://hdl.handle.net/11511/55473
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar