Convolutional rule inference network based on belief rule-based system using an evidential reasoning approach

2021 ◽  
pp. 107713
Author(s):  
Hongyue Diao ◽  
Yifan Lu ◽  
Ansheng Deng ◽  
Li Zou ◽  
Xiaofeng Li ◽  
...  
Keyword(s):  
Evidential Reasoning ◽  
Rule Based ◽  
Rule Based System ◽  
Inference Network ◽  
Evidential Reasoning Approach ◽  
Rule Inference

scholarly journals Environmental investment prediction using extended belief rule-based system and evidential reasoning rule

2021 ◽  
Vol 289 ◽  
pp. 125661
Author(s):  
Long-Hao Yang ◽  
Suhui Wang ◽  
Fei-Fei Ye ◽  
Jun Liu ◽  
Ying-Ming Wang ◽  
...  
Keyword(s):  
Evidential Reasoning ◽  
Rule Based ◽  
Environmental Investment ◽  
Rule Based System

Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis

2004 ◽  
Vol 33 (2-3) ◽  
pp. 183-204 ◽  
Author(s):  
Jun Liu ◽  
Jian-Bo Yang† ◽  
Jin Wang‡ ◽  
How-Sing SII¶ ◽  
Ying-Ming Wang
Keyword(s):  
Fuzzy Rule ◽  
Safety Analysis ◽  
Evidential Reasoning ◽  
Rule Based ◽  
Evidential Reasoning Approach

scholarly journals Interval Certitude Rule Base Inference Method using the Evidential Reasoning

2017 ◽  
Vol 12 (6) ◽  
pp. 839 ◽  
Author(s):  
Liuqian Jin ◽  
Xin Fang
Keyword(s):  
Research Area ◽  
Evidential Reasoning ◽  
Rule Base ◽  
Human Knowledge ◽  
Important Research ◽  
Human Judgment ◽  
Inference Method ◽  
Rule Based ◽  
Evidential Reasoning Approach ◽  
Important Research Area

Development of rule-based systems is an important research area for artificialintelligence and decision making, as rule base is one of the most general purposeforms for expressing human knowledge. In this paper, a new rule-based representationand its inference method based on evidential reasoning are presented based on operationalresearch and fuzzy set theory. In this rule base, the uncertainties of humanknowledge and human judgment are designed with interval certitude degrees whichare embedded in the antecedent terms and consequent terms. The knowledge representationand inference framework offer an improvement of the recently developed rulebase inference method, and the evidential reasoning approach is still applied to therule fusion. It is noteworthy that the uncertainties will be defined and modeled usinginterval certitude degrees. In the end, an illustrative example is provided to illustratethe proposed knowledge representation and inference method as well as demonstrateits effectiveness by comparing with some existing approaches.

Multi-Asset Class Portfolio Optimisation Using a Belief Rule-Based System

2010 ◽  
Author(s):  
Ser-Huang Poon ◽  
Yu-Wang Chen ◽  
Jian-Bo Yang ◽  
Dong-Ling Xu ◽  
Dongxu Zhang ◽  
...  
Keyword(s):  
Portfolio Optimisation ◽  
Rule Based ◽  
Rule Based System ◽  
Asset Class
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