Rough set analysis of graphs
Author:
Affiliation:
1. School of Science, Beijing University of Posts and Telecommunications, Beijing, China
2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton TR V AB, Canada
Abstract
Publisher
National Library of Serbia
Subject
General Mathematics
Reference48 articles.
1. Y.L. Bao, H.L. Yang, Y.H. She. Using one axiom to characterize L-fuzzy rough approximation operators based on residuated lattices. Fuzzy Sets and Systems, 336 (2018) 87-115.
2. J.K. Chen, Y.J. Lin, J.J. Li, G.P. Lin, Z.M. Ma, A.H. Tan. A rough set method for the minimum vertex cover problem of graphs. Applied Soft Computing, 42 (2016) 360-367.
3. J.K. Chen, J.J. Li. An application of rough sets to graph theory. Information Sciences, 201 (2012) 114-127.
4. J.K. Chen, J.S. Mi, Y.J. Lin. A graph approach for fuzzy-rough feature selection. Fuzzy Sets and Systems, 2019.
5. R.H. Du, J.N. Yang, Y.Z. Cao, H.P.Wang. Personalized graph pattern matching via limited simulation. Knowledge-Based Systems, 141 (2018) 31-43.
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