Cost-sensitive three-way class-specific attribute reduction
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Publication:1726347
DOI10.1016/j.ijar.2018.11.014zbMath1452.68219OpenAlexW2902863837WikidataQ128861740 ScholiaQ128861740MaRDI QIDQ1726347
Publication date: 20 February 2019
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2018.11.014
Related Items (22)
A computational formulation of distribution reducts in probabilistic rough set models ⋮ Cost-sensitive sequential three-way decision for information system with fuzzy decision ⋮ Three-way decisions method based on matrices approaches oriented dynamic interval-valued information system ⋮ Measures associated with granularity and rough approximations in interval-valued information tables based on kernel similarity relations ⋮ Sequential multi-class three-way decisions based on cost-sensitive learning ⋮ Feature selection based on fuzzy combination entropy considering global and local feature correlation ⋮ Interval-value based movement strategy of three-way decisions ⋮ Class-specific information measures and attribute reducts for hierarchy and systematicness ⋮ Information-theoretic measures of uncertainty for interval-set decision tables ⋮ Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria ⋮ Granulation in rough set theory: a novel perspective ⋮ Min-max attribute-object bireducts: on unifying models of reducts in rough set theory ⋮ Belief function of Pythagorean fuzzy rough approximation space and its applications ⋮ Extending characteristic relations on an incomplete data set by the three-way decision theory ⋮ Strategy selection under entropy measures in movement-based three-way decision ⋮ Three-way dual concept analysis ⋮ Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system ⋮ Three-way granular computing, rough sets, and formal concept analysis ⋮ Quantitative three-way class-specific attribute reducts based on region preservations ⋮ Discernibility matrix based incremental feature selection on fused decision tables ⋮ Finding strongly connected components of simple digraphs based on granulation strategy ⋮ Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes
Uses Software
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