A MASS ASSIGNMENT ALGORITHM FOR DEMPSTER-SHAFER APPROACH

Date

2014-04-25

Author

Turhan, Hasan Ihsan
Demirekler, Mübeccel
Gunay, Melih

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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

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

H. I. Turhan, M. Demirekler, and M. Gunay, “A MASS ASSIGNMENT ALGORITHM FOR DEMPSTER-SHAFER APPROACH,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, TURKEY, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55473.