LI Jinhai1, 2*，DENG Xiaoyuan1, 2，ZHI Huilai3
(1 Data Science Research Center，Kunming University of Science and Technology，Kunming 650500，Yunnan，China；2 Faculty of Science，Kunming University of Science and Technology，Kunming 650500，Yunnan，China；3 School of Computer Science and Technology，Henan Polytechnic University，Jiaozuo 454000，Henan，China)
Abstract:
In order to further broaden the scope of application of real-valued concept lattice, multi-granularity idea is combined with real-valued formal contexts to propose real-valued class-attribute block and multi-granularity real-valued formal context.Then, the transformation relationship between real-valued concepts from fine conceptual knowledge space to coarse conceptual knowledge space or coarse conceptual knowledge space to fine conceptual knowledge space is analyzed as well as the reasoning relation between decision rules under different granularity spaces. The obtained results on multi-granularity real-valued concepts and decision rules can not only further improve the theory of real-valued concept lattice, but also generalize the existing method of multi-granularity formal concept analysis.
KeyWords:
granular computing; formal concept analysis; concept lattice; multi-granularity real-valued formal context; rule acquisition
