A NEW METHOD FOR MEASURING THE UNCERTAINTY IN INCOMPLETE INFORMATION SYSTEMS
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Publication:5851779
DOI10.1142/S0218488509006303zbMath1185.68715OpenAlexW2096082386MaRDI QIDQ5851779
Feng Wang, Yuhua Qian, J. Y. Liang
Publication date: 25 January 2010
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/s0218488509006303
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Uncertainty Measurement for Covering Rough Sets ⋮ A relative decision entropy-based feature selection approach ⋮ General expression of knowledge granularity based on a fuzzy relation matrix ⋮ Tracing design flood hydrograph uncertainty in reservoir flood control system ⋮ Knowledge distance measure in multigranulation spaces of fuzzy equivalence relations ⋮ Analysis of alternative objective functions for attribute reduction in complete decision tables ⋮ Initialization of \(K\)-modes clustering using outlier detection techniques ⋮ Complement information entropy for uncertainty measure in fuzzy rough set and its applications ⋮ Approximations and uncertainty measures in incomplete information systems ⋮ An efficient accelerator for attribute reduction from incomplete data in rough set framework ⋮ Boundary region-based rough sets and uncertainty measures in the approximation space ⋮ An incremental approach to obtaining attribute reduction for dynamic decision systems ⋮ Monotonic uncertainty measures for attribute reduction in probabilistic rough set model
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