Tabu search for attribute reduction in rough set theory

DOI10.1007/s00500-007-0260-1zbMath1151.68643OpenAlexW2027698417MaRDI QIDQ931456

Abdel-Rahman Hedar, Jue Wang, Masao Fukushima

Publication date: 25 June 2008

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-007-0260-1

zbMATH Keywords

Computational intelligenceTabu searchGranular computingRough setAttribute reduction

Mathematics Subject Classification ID

Searching and sorting (68P10) Knowledge representation (68T30) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items

Online streaming feature selection using rough sets ⋮ Decision region distribution preservation reduction in decision-theoretic rough set model ⋮ Developing equilibrium optimization methods for hub location problems ⋮ Enhanced cultural algorithm to solve multi-objective attribute reduction based on rough set theory ⋮ A rough set approach to feature selection based on scatter search metaheuristic ⋮ A binary water wave optimization for feature selection ⋮ Monotonic uncertainty measures for attribute reduction in probabilistic rough set model

Uses Software

• Tabu search

Cites Work

• Metaheuristic optimization via memory and evolution. Tabu search and scatter search.
• Future paths for integer programming and links to artificial intelligence
• Tabu search directed by direct search methods for nonlinear global optimization
• Search Methodologies
• Rough sets
• Tabu Search—Part I
• Tabu Search—Part II
• Rough set methods in feature selection and recognition
• Data mining, rough sets and granular computing
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