Approximate distribution reducts in inconsistent interval-valued ordered decision tables
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Publication:726325
DOI10.1016/j.ins.2014.02.070zbMath1341.68250OpenAlexW2078514717MaRDI QIDQ726325
Publication date: 8 July 2016
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.070
rule acquisitionattribute reductdiscernibility matrix approachdominance-based rough setsinconsistent interval-valued ordered decision tables
Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (17)
Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory ⋮ Probabilistic graded rough set and double relative quantitative decision-theoretic rough set ⋮ Three-way decisions method based on matrices approaches oriented dynamic interval-valued information system ⋮ A fast heuristic attribute reduction approach to ordered decision systems ⋮ Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems ⋮ Partial-overall dominance three-way decision models in interval-valued decision systems ⋮ Incremental Updating Rough Approximations in Interval-valued Information Systems ⋮ Three-way decisions space and three-way decisions ⋮ On two novel types of three-way decisions in three-way decision spaces ⋮ Dominance-based rough set approach to incomplete ordered information systems ⋮ Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations ⋮ Dominance-based rough fuzzy set approach and its application to rule induction ⋮ \(\alpha\)-dominance relation and rough sets in interval-valued information systems ⋮ Attribute reduction in ordered decision tables via evidence theory ⋮ Three-way decisions based on semi-three-way decision spaces ⋮ Incremental updating of rough approximations in interval-valued information systems under attribute generalization ⋮ Generalized interval-valued fuzzy variable precision rough sets determined by fuzzy logical operators
Uses Software
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