Extraction of qualitative behavior rules for industrial processes from reduced concept lattice
Author:
Affiliation:
1. Department of Computer Science, Pontifical Catholic University of Minas Gerais, Minas Gerais, Brazil
2. Federal University of Minas Gerais, Minas Gerais, Brazil
3. School of Information Technology and Engineering, VIT University, Vellore, India
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science
Reference82 articles.
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3. R. Belohlavek, What is a Fuzzy Concept Lattice? II, in: Proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Berlin, Heidelberg, 2011, pp. 19–26. Springer-Verlag.
4. R. Belohlavek, B. Baets and J. Konecny, Zoom-In/Zoom-Out Algorithms for FCA with Attribute Granularity, in: Computer and Information Sciences II, Springer London, 2012, pp. 549–555.
5. R. Belohlavek and J. Macko, Selecting important concepts using weights, in: Proceedings of International Conference on Formal Concept Analysis – ICFCA, Berlin, Heidelberg, 2011, pp. 65–80. Springer-Verlag.
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