Combination Entropy and Combination Granulation in Incomplete Information System

DOI10.1007/11795131_27zbMath1196.68269OpenAlexW1570588601MaRDI QIDQ5757977

Yuhua Qian, J. Y. Liang

Publication date: 7 September 2007

Published in: Rough Sets and Knowledge Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/11795131_27

zbMATH Keywords

Incomplete information systemcombination entropycombination granulation

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (13)

Consistency measure, inclusion degree and fuzzy measure in decision tables ⋮ Set-valued ordered information systems ⋮ Feature selection based on fuzzy combination entropy considering global and local feature correlation ⋮ An interval set model for learning rules from incomplete information table ⋮ Rough set approach to incomplete numerical data ⋮ Dynamic maintenance of approximations in set-valued ordered decision systems under the attribute generalization ⋮ Measures for evaluating the decision performance of a decision table in rough set theory ⋮ Information granules and entropy theory in information systems ⋮ Knowledge structure, knowledge granulation and knowledge distance in a knowledge base ⋮ Approximations and uncertainty measures in incomplete information systems ⋮ Research on Rough Set Theory and Applications in China ⋮ An incremental approach to obtaining attribute reduction for dynamic decision systems ⋮ Conditional entropy for incomplete decision systems and its application in data mining

This page was built for publication: Combination Entropy and Combination Granulation in Incomplete Information System