A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm-Reference-Cited by-同舟云学术

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A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm

Published:2020-04 Issue: Volume:119 Page:20-39
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Zhang An,Gao Fei,Yang Mi,Bi Wenhao

Funder

National Natural Science Foundation of China

Key Laboratory Open Foundation of Data Link Technology

Research Funds for Interdisciplinary Subject, NWPU

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference61 articles.

1. Robust reasoning: integrating rule-based and similarity-based reasoning;Sun;Artif. Intell.,1995

2. Artificial Intelligence: A Guide to Intelligent Systems;Negnevitsky,2005

3. Logical Foundations for Rule-Based Systems, Vol. 11;Ligeza,2006

4. Fun: optimization of fuzzy rule based systems using neural networks;Sulzberger,1993

5. Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm;Castro,2004

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