1.6k citations
- Tsinghua UniversityCN17 papers
- Chinese Academy of SciencesCN16 papers
- Ministry of Industry and Information TechnologyCN16 papers
- Xi'an Jiaotong UniversityCN16 papers
- Xidian UniversityCN14 papers
- Australian National UniversityAU11 papers
- Moscow Institute of Physics and TechnologyRU11 papers
- University of Chinese Academy of SciencesCN10 papers
- Nankai UniversityCN9 papers
- Beijing Normal UniversityCN8 papers
- Fudan UniversityCN8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
4 papers · 2 filters
A total uncertainty measure for D numbers based on belief intervals
Xinyang Deng, Wen Jiang
As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning. Measuring the uncertainty of knowledge or informati…
Evidence combination for a large number of sources
Kuang Zhou, Arnaud Martin, Quan Pan
The theory of belief functions is an effective tool to deal with the multiple uncertain information. In recent years, many evidence combination rules have been proposed in this fra…
Exploring the Combination Rules of D Numbers From a Perspective of Conflict Redistribution
Xinyang Deng, Wen Jiang
Dempster-Shafer theory of evidence is widely applied to uncertainty modelling and knowledge reasoning because of its advantages in dealing with uncertain information. But some cond…
A new belief Markov chain model and its application in inventory prediction
Zichang He, Wen Jiang
Markov chain model is widely applied in many fields, especially the field of prediction. The classical Discrete-time Markov chain(DTMC) is a widely used method for prediction. Howe…