Entropy measures and granularity measures for interval and set-valued information systems
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Publication:2403415
DOI10.1007/s00500-015-1954-4zbMath1370.68282OpenAlexW2288326155MaRDI QIDQ2403415
Publication date: 8 September 2017
Published in: Soft Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00500-015-1954-4
Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)
Related Items (7)
Attribute reduction based on D-S evidence theory in a hybrid information system ⋮ Information-theoretic measures of uncertainty for interval-set decision tables ⋮ New measures of uncertainty for an interval-valued information system ⋮ Uncertainty measures of rough sets based on discernibility capability in information systems ⋮ Information structures and uncertainty measures in a fully fuzzy information system ⋮ Uncertainty measures for interval set information tables based on interval \(\delta \)-similarity relation ⋮ Uncertainty measurement for a covering information system
Cites Work
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- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY
- MEASURING UNCERTAINTY IN ROUGH SET THEORY
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