The key to granular computing is to make use of granules in problem solving. However, there are different granules at different levels of scale in data sets ...
By using dominance relations to construct the dominating classes, we also intro- duced knowledge approximations in multi-scale ordered information systems and.
Aug 3, 2023 · In this paper, we study OS selection and knowledge reduction in MOISs. The resulting properties are complementary to the multi-granularity theory.
Incomplete generalized multi-scale ordered information systems and ...
ieeexplore.ieee.org › document
This paper proposes incomplete generalized multi-scale ordered information systems and defines the upper approximations and lower approximations with dominance ...
In this paper, the notion of incomplete multi-scale information systems is first introduced. Using tolerance relation, the lower and upper approximations in ...
Firstly, we analyze the effect of scale on rough approximations and correlation measures in multi-scale ordered information systems (MOISs). Secondly, the ...
The set approximations of ordered information systems (OIS) need to be updated from time to time for further data reduction, analysis, or decision-making.
The knowledge hidden in information systems can be discovered and expressed in the form of decision rules accord- ing to the lower and upper approximations [36– ...
Knowledge acquisition of multi-granularity ordered information systems · List of references · Publications that cite this publication.
Knowledge Approximations in Multi-scale Ordered Information Systems. Shen-Ming Gu, Yi Wu, Wei-Zhi Wu, Tong-Jun Li. https://doi.org/10.1007/978-3-319-11740 ...