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dc.contributor.authorShao, M.
dc.contributor.authorLeung, Yee-Hong
dc.contributor.authorWu, W.
dc.date.accessioned2017-09-27T10:20:00Z
dc.date.available2017-09-27T10:20:00Z
dc.date.created2017-09-27T09:48:09Z
dc.date.issued2014
dc.identifier.citationShao, M. and Leung, Y. and Wu, W. 2014. Rule acquisition and complexity reduction in formal decision contexts. International Journal of Approximate Reasoning. 55 (1 PART 2): pp. 259-274.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/56570
dc.identifier.doi10.1016/j.ijar.2013.04.011
dc.description.abstract

In this paper, we introduce the notion of formal decision context as an extension of formal contexts by employing the notion of decision information table. We use formal concept analysis to formulate an approach to extract "if-then" rule from formal decision contexts. We also construct a knowledge-lossless method for complexity reduction in formal decision contexts so that the maximum rules extracted from the reduced formal decision contexts are identical to that extracted from the initial decision formal contexts. More specifically, we develop the discernibility matrix and the discernibility function in formal decision contexts to compute all of the attribute reductions without loss of knowledge.

dc.publisherElsevier
dc.titleRule acquisition and complexity reduction in formal decision contexts
dc.typeJournal Article
dcterms.source.volume55
dcterms.source.number1 PART 2
dcterms.source.startPage259
dcterms.source.endPage274
dcterms.source.issn0888-613X
dcterms.source.titleInternational Journal of Approximate Reasoning
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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