Title
An Accelerator for Rule Induction in Fuzzy Rough Theory
Abstract
Rule-based classifier, that extract a subset of induced rules to efficiently learn/mine while preserving the discernibility information, plays a crucial role in human-explainable artificial intelligence. However, in this era of big data, rule induction on the whole datasets is computationally intensive. So far, to the best of our knowledge, no known method focusing on accelerating rule induction h...
Year
DOI
Venue
2021
10.1109/TFUZZ.2021.3101935
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Rough sets,Buildings,Mathematical model,Heuristic algorithms,Fuzzy systems,Fuzzy sets,Classification algorithms
Journal
29
Issue
ISSN
Citations 
12
1063-6706
1
PageRank 
References 
Authors
0.34
29
7
Name
Order
Citations
PageRank
Suyun Zhao1223.17
Zhigang Dai210.34
Xizhao Wang33593166.16
Peng Ni4171.85
Hengheng Luo510.34
Hong Chen6259.84
Cuiping Li7399.19