UNCERTAINTY MEASURE OF ROUGH SETS BASED ON A KNOWLEDGE GRANULATION FOR INCOMPLETE INFORMATION SYSTEMS

DOI10.1142/S0218488508005157zbMath1149.68430OpenAlexW2027092439MaRDI QIDQ3524405

Junhong Wang, Chuangyin Dang, Yuhua Qian, J. Y. Liang

Publication date: 9 September 2008

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488508005157

zbMATH Keywords

roughnessaccuracy of rough sets

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35) Measures of information, entropy (94A17)

Related Items

Uncertainty Measurement for Covering Rough Sets, Roughness and granularity measures using Hausdorff metric: a new approach, Uncertainty measures of rough sets based on discernibility capability in information systems, A measurement theory view on the granularity of partitions

Cites Work

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• THE INFORMATION ENTROPY, ROUGH ENTROPY AND KNOWLEDGE GRANULATION IN ROUGH SET THEORY
• THE ALGORITHM ON KNOWLEDGE REDUCTION IN INCOMPLETE INFORMATION SYSTEMS
• MEASURING UNCERTAINTY IN ROUGH SET THEORY