D numbers theory: a generalization of Dempster-Shafer theory
Xinyang Deng, Yong Deng

TL;DR
D numbers theory extends Dempster-Shafer theory to better model uncertain information by relaxing certain assumptions, providing a more flexible framework for uncertainty reasoning.
Contribution
The paper introduces D numbers theory, a novel generalization of Dempster-Shafer theory, enhancing its ability to handle uncertainty beyond previous limitations.
Findings
D numbers effectively express uncertain information.
D numbers combination rule enables reasoning and synthesis.
D numbers theory inherits and surpasses Dempster-Shafer advantages.
Abstract
Dempster-Shafer theory is widely applied to uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information. However, some conditions, such as exclusiveness hypothesis and completeness constraint, limit its development and application to a large extend. To overcome these shortcomings in Dempster-Shafer theory and enhance its capability of representing uncertain information, a novel theory called D numbers theory is systematically proposed in this paper. Within the proposed theory, uncertain information is expressed by D numbers, reasoning and synthesization of information are implemented by D numbers combination rule. The proposed D numbers theory is an generalization of Dempster-Shafer theory, which inherits the advantage of Dempster-Shafer theory and strengthens its capability of uncertainty modelling.
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Taxonomy
TopicsMulti-Criteria Decision Making · Bayesian Modeling and Causal Inference · Logic, Reasoning, and Knowledge
