A survey of belief rule-base expert system
ZJ Zhou, GY Hu, CH Hu, CL Wen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The belief rule-base (BRB) model is a new intelligent expert system with the characteristics
of both expert system and data-driven model. In BRB there are many if-then rules which use …
of both expert system and data-driven model. In BRB there are many if-then rules which use …
Generalized combination rule for evidential reasoning approach and Dempster–Shafer theory of evidence
YW Du, JJ Zhong - Information Sciences, 2021 - Elsevier
Abstract The Dempster–Shafer (DS) theory of evidence can combine evidence with one
parameter. The evidential reasoning (ER) approach is an extension of DS theory that can …
parameter. The evidential reasoning (ER) approach is an extension of DS theory that can …
A novel data-driven decision model based on extended belief rule base to predict China's carbon emissions
Global warming and climate change are gaining traction in recent years. As a major cause of
global warming, carbon emissions were centered to China's climate change policy …
global warming, carbon emissions were centered to China's climate change policy …
Disjunctive belief rule-based reasoning for decision making with incomplete information
YG Fu, GC Fang, YY Liu, LK Guo, YM Wang - Information Sciences, 2023 - Elsevier
Witnessing the growth of inaccurate data with uncertainty and ambiguity, the belief rule base
system is attracting increasing research interest because of its usage in decision-making …
system is attracting increasing research interest because of its usage in decision-making …
Belief rule-base expert system with multilayer tree structure for complex problems modeling
LH Yang, FF Ye, J Liu, YM Wang - Expert Systems with Applications, 2023 - Elsevier
Belief rule-base (BRB) expert system is one of recognized and fast-growing approaches in
the areas of complex problems modeling. However, the conventional BRB has to suffer from …
the areas of complex problems modeling. However, the conventional BRB has to suffer from …
Generic disjunctive belief-rule-base modeling, inferencing, and optimization
The combinatorial explosion problem is a great challenge for belief rule base (BRB) when a
complex system has overnumbered attributes and/or referenced values for the attributes …
complex system has overnumbered attributes and/or referenced values for the attributes …
A data-driven rule-based system for China's traffic accident prediction by considering the improvement of safety efficiency
Rapid traffic development brings convenience to social circulation, but the number of
fatalities in traffic accidents has brought great pressure on traffic safety and social stability …
fatalities in traffic accidents has brought great pressure on traffic safety and social stability …
Develo** a risk assessment model for banking software development projects based on rough-grey set theory
T Karimi, Y Yahyazade - Grey Systems: Theory and Application, 2022 - emerald.com
Purpose Risk management is one of the most influential parts of project management that
has a major impact on the success or failure of projects. Due to the increasing use of …
has a major impact on the success or failure of projects. Due to the increasing use of …
Interpretability and accuracy trade-off in the modeling of belief rule-based systems
Y You, J Sun, Y Guo, Y Tan, J Jiang - Knowledge-Based Systems, 2022 - Elsevier
As a widely used rule-based system, one of the strongest advantages of belief rule-based
(BRB) systems is good interpretability. Currently, most studies on BRB modeling focus on …
(BRB) systems is good interpretability. Currently, most studies on BRB modeling focus on …
Ensemble belief rule-based model for complex system classification and prediction
Abstract Belief Rule-Based (BRB) model has been widely used for complex system
classification and prediction. However, excessive antecedent attributes will cause the …
classification and prediction. However, excessive antecedent attributes will cause the …