Firstly, we analyze the effect of scale on rough approximations and correlation measures in multi-scale ordered information systems (MOISs). Secondly, the ...
In this paper, we study OS selection and knowledge reduction in MOISs. The resulting properties are complementary to the multi-granularity theory.
Knowledge acquisition of multi-granularity ordered information systems · List of references · Publications that cite this publication.
Supplementary code for: Knowledge acquisition of multi-granularity ...
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This project is a method for selecting the optimal scale in a consistent multi-scale ordered decision systems.
This project places a special emphasis on early cancer detection and understanding cancer mechanisms by harnessing the power of diverse metabolomics ...
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 ...
Mar 7, 2023 · The key to granular computing is to make use of granules in problem solving. However, there are different granules at different levels of ...
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 ...
A decision making approach which combines multi-attribute decision making techniques with expert systems with interactive knowledge acquisition and knowledge ...
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Nov 9, 2022 · ... information system” section describes role optimization using the knowledge of decision information theory. This section guides on how to ...