A fuzzy-rough approach for finding various minimal data reductions using ant colony optimization

DOI10.3233/IFS-130921zbMath1305.68178OpenAlexW1560179548MaRDI QIDQ5174558

Vahid Sattari Naeini, Afsoon Moaref

Publication date: 18 February 2015

Published in: Journal of Intelligent & Fuzzy Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3233/ifs-130921

zbMATH Keywords

fuzzy rough setant colony optimizationfeature selectionminimal reductgain ratio

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (2)

Membership-margin based feature selection for mixed type and high-dimensional data: theory and applications ⋮ Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making

This page was built for publication: A fuzzy-rough approach for finding various minimal data reductions using ant colony optimization