Entropy measures and granularity measures for interval and set-valued information systems

DOI10.1007/s00500-015-1954-4zbMath1370.68282OpenAlexW2288326155MaRDI QIDQ2403415

Hong Wang, Hong-Bo Yue

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

zbMATH Keywords

entropymeasuregranularityfuzzy preference relationinterval and set-valued information systems

Mathematics Subject Classification ID

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

• Entropy measures and granularity measures for set-valued information systems
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• Information granules and entropy theory in information systems
• Fuzzy preference based rough sets
• Some issues on consistency of fuzzy preference relations.
• Fuzzy rough set model for set-valued data
• A new method for measuring uncertainty and fuzziness in rough set theory
• 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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