TY - JOUR
AU - Pan, Lipeng
AU - Deng, Yong
PY - 2020/06/08
TI - Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference
JF - INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL; Vol 15 No 4 (2020): International Journal of Computers Communications & Control (August)
KW - Dempster-Shafer evidence theory, probability transform, mass function, ordered weighted averaging, entropy difference
N2 - 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.
UR - http://univagora.ro/jour/index.php/ijccc/article/view/3743