Attribute reductions in object-oriented concept lattices
dc.contributor.author | Ma, J. | |
dc.contributor.author | Leung, Yee-Hong | |
dc.contributor.author | Zhang, W. | |
dc.date.accessioned | 2017-09-27T10:21:35Z | |
dc.date.available | 2017-09-27T10:21:35Z | |
dc.date.created | 2017-09-27T09:48:09Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Ma, J. and Leung, Y. and Zhang, W. 2013. Attribute reductions in object-oriented concept lattices. International Journal of Machine Learning and Cybernetics. 5 (5): pp. 789-813. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/56937 | |
dc.identifier.doi | 10.1007/s13042-013-0214-0 | |
dc.description.abstract |
© 2013, Springer-Verlag Berlin Heidelberg. Attribute reduction is one of the main issues in the study of concept lattice. This paper mainly deals with attribute reductions of an object-oriented concept lattice constructed on the basis of rough set. Attribute rank of object-oriented concept lattice is first defined, and relationships between attribute rank and object-oriented concepts are then discussed. Based on attribute rank, generating algorithm of object-oriented concepts is investigated. The object-oriented consistent set and object-oriented reduction of an object-oriented concept lattice are defined. Adjustment theorems of the object-oriented consistent set, and the necessary and sufficient conditions for a attribute subset to be an object-oriented consistent set of an object-oriented concept lattice are discussed. Then the object-oriented discernibility matrix of an object-oriented concept lattice is defined and its properties are also studied. Based on the object-oriented discernibility matrix, an approach to object-oriented reductions of an object-oriented concept lattice is proposed, and the attribute characteristics are also analyzed. | |
dc.publisher | Springer | |
dc.title | Attribute reductions in object-oriented concept lattices | |
dc.type | Journal Article | |
dcterms.source.volume | 5 | |
dcterms.source.number | 5 | |
dcterms.source.startPage | 789 | |
dcterms.source.endPage | 813 | |
dcterms.source.issn | 1868-8071 | |
dcterms.source.title | International Journal of Machine Learning and Cybernetics | |
curtin.department | Department of Electrical and Computer Engineering | |
curtin.accessStatus | Fulltext not available |
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