8 papers
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…
Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise
Yuanpeng He
Information management has enter a completely new era, quantum era. However, there exists a lack of sufficient theory to extract truly useful quantum information and transfer it to…
MMGET: A Markov model for generalized evidence theory
Yuanpeng He
In real life, lots of information merges from time to time. To appropriately describe the actual situations, lots of theories have been proposed. Among them, Dempster-Shafer eviden…
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…
An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment
Yuanpeng He
How to measure the degree of uncertainty of a given frame of discernment has been a hot topic for years. A lot of meaningful works have provided some effective methods to measure t…
Combining conflicting ordinal quantum evidences utilizing individual reliability
Yuanpeng He
How to combine uncertain information from different sources has been a hot topic for years. However, with respect to ordinal quantum evidences contained in information, there is no…