Relative Knowledge Distance Measure of Intuitionistic Fuzzy Concept
نویسندگان
چکیده
Knowledge distance is used to measure the difference between granular spaces, which an uncertainty with strong distinguishing ability in a rough set. However, current knowledge failed take relative spaces into account under given perspective of uncertain concepts. To solve this problem, paper studies intuitionistic fuzzy concept (IFC). Firstly, micro-knowledge (md) based on information entropy proposed granules. Then, md, macro-knowledge (MD) further constructed, and it revealed rule that MD monotonic granularity being finer multi-granularity spaces. Furthermore, analyze differences different from multiple perspectives. Finally, effectiveness verified by relevant experiments. According these experiments, has successfully measured space Compared other attribute reduction algorithms, number subsets after our algorithm middle, mean-square error value appropriate.
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ژورنال
عنوان ژورنال: Electronics
سال: 2022
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics11203373