Abstract
Improving construction efficiency of fuzzy concept lattices remains one of the important issues in the field of fuzzy formal concept analysis. Building L-fuzzy concept lattice is usually based on the closure operation of the fuzzy Galois connection, and each closure operation needs to scan the fuzzy concept context twice. This becomes a significant computing overhead, especially when the fuzzy formal context is large. We propose a batch-mode algorithm for directly constructing fuzzy concept lattices based on union and intersection operations of the fuzzy set that scans the fuzzy formal context once only. Experimental results show that it improves the construction efficiency of the complete fuzzy concept lattice, especially for large fuzzy formal contexts with small truth sets.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
