3 papers
cs.AI2021
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
Tianxiang Zhan, Yuanpeng He, Hanwen Li +1
Evidence theory is that the extension of probability can better deal with unknowns and inaccurate information. Uncertainty measurement plays a vital role in both evidence theory an…
quant-ph2021
Quantum soft likelihood function based on ordered weighted average operator
Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
Quantum theory is the focus of current research. Likelihood functions are widely used in many fields. Because the classic likelihood functions are too strict for extreme data in pr…
q-fin.ST2021
A Fast Evidential Approach for Stock Forecasting
Tianxiang Zhan, Fuyuan Xiao
Within the framework of evidence theory, the confidence functions of different information can be combined into a combined confidence function to solve uncertain problems. The Demp…