[2] JIANG W,ZHUANG M Y,XIE C H.A reliability-based method to sensor data fusion[J].Sensors,2017,17(7): 1575-1581.
[3] TANG Y C,ZHOU D Y,XU S,et al.A weighted belief entropy-based uncertainty measure for multi-sensor data fusion[J].Sensors,2017,17(4):915-928.
[4] LI Y X,DENG Y.Generalized ordered propositions fusion based on belief entropy[J].International Journal of Computers,Communications & Control,2018,13(5):792-807.
[7] DENG Y.Generalized evidence theory[J].Applied Intelligence,2015,43(3):530-543.
[10] LIU W R.Analyzing the degree of conflict among belief functions[J].Artificial Intelligence,2006,170(11):909-924.
[11] LIU Z G,DEZERT J,PAN Q,et al.Combination of sources of evidence with different discounting factors based on a new dissimilarity measure[J].Decision Support Systems,2011,52(1):133-141.
[12] DENG Y.Deng entropy[J].Chaos,Solitons & Fractals, 2016,91:549-553.
[13] PAN L P,DENG Y.A new belief entropy to measure uncertainty of basic probability assignments based on belief function and plausibility function[J].Entropy,2018,20(11):842.
[14] PAN Q,ZHOU D Y,TANG Y C,et al.A novel belief entropy for measuring uncertainty in Dempster-Shafer evidence theory framework based on plausibility transformation and weighted Hartley entropy[J].Entropy,2019,21(2):163.
[15] JIROUSEK R,SHENOY P P.A new definition of entropy of belief functions in the Dempster-Shafer theory[J].International Journal of Approximate Reasoning, 2018,92: 49-65.