Domain-wise approaches for updating approximations with multi-dimensional variation of ordered information systems
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Publication:2004705
DOI10.1016/j.ins.2018.11.014zbMath1443.68186OpenAlexW2901909432WikidataQ62608980 ScholiaQ62608980MaRDI QIDQ2004705
Chuan Luo, Shu Wang, Tianrui Li, Hamido Fujita, Hongmei Chen
Publication date: 7 October 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.11.014
Related Items (8)
Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data ⋮ A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data ⋮ Incremental updating three-way regions with variations of objects and attributes in incomplete neighborhood systems ⋮ A novel approach for efficient updating approximations in dynamic ordered information systems ⋮ Incremental approaches for heterogeneous feature selection in dynamic ordered data ⋮ Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes ⋮ Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems ⋮ A review of sequential three-way decision and multi-granularity learning
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