期刊
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
卷 4, 期 6, 页码 721-731出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-013-0150-z
关键词
Formal concept analysis; Formal context; Decision formal context; Concept lattice; Rule acquisition
资金
- National Natural Science Foundation of China [10971161, 61005042, 11071281, 61202018]
Rule acquisition is one of the main purposes in the analysis of decision formal contexts. Up to now, there have existed several types of rules (e.g., the decision rules and the granular rules) in decision formal contexts. This study firstly proposes a new algorithm with less time complexity for deriving the non-redundant decision rules from a decision formal context. Then, we invesigate decision rules and the granular rules in the consistent decision formal contexts and make a contrast between the decision rule oriented knowledge reduction and the granular rule oriented knowledge reduction. Finally, some experiments are conducted to assess the efficiency of the proposed rule acquisition algorithm.
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