Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference

  • Lipeng Pan Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China
  • Yong Deng Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China


Dempster-Shafer evidence theory can handle imprecise and unknown information, which has attracted many people. In most cases, the mass function can be translated into the probability, which is useful to expand the applications of the D-S evidence theory. However, how to reasonably transfer the mass function to the probability distribution is still an open issue. Hence, the paper proposed a new probability transform method based on the ordered weighted averaging and entropy difference. The new method calculates weights by ordered weighted averaging, and adds entropy difference as one of the measurement indicators. Then achieved the transformation of the minimum entropy difference by adjusting the parameter r of the weight function. Finally, some numerical examples are given to prove that new method is more reasonable and effective.


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How to Cite
PAN, Lipeng; DENG, Yong. Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 15, n. 4, june 2020. ISSN 1841-9844. Available at: <>. Date accessed: 12 july 2020. doi:


Dempster-Shafer evidence theory, probability transform, mass function, ordered weighted averaging, entropy difference