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Approximate concept and rule acquisition based on attribute granularity. (Chinese. English summary) Zbl 07267037
Summary: This paper introduces the idea of attribute granularity into the study of incomplete context. Firstly, by means of granularity trees and cuts, the relationship between approximate concepts at different levels of granularities is investigated. Next, the relationship between approximate decision rules at different levels of granularities in incomplete context is examined. Lastly, three types of consistences are introduced into incomplete context, and the relationship between different types of consistences at different levels of granularities is also studied.
MSC:
68T30 Knowledge representation
68T37 Reasoning under uncertainty in the context of artificial intelligence
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