Rule acquisition and complexity reduction in formal decision contexts

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 k...

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Main Authors: Shao, M., Leung, Yee-Hong, Wu, W.
Format: Journal Article
Published: Elsevier 2014
Online Access:http://hdl.handle.net/20.500.11937/56570
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author Shao, M.
Leung, Yee-Hong
Wu, W.
author_facet Shao, M.
Leung, Yee-Hong
Wu, W.
author_sort Shao, M.
building Curtin Institutional Repository
collection Online Access
description 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.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:06:57Z
publishDate 2014
publisher Elsevier
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spelling curtin-20.500.11937-565702018-01-17T04:59:24Z Rule acquisition and complexity reduction in formal decision contexts Shao, M. Leung, Yee-Hong Wu, W. 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/56570 10.1016/j.ijar.2013.04.011 Elsevier restricted
spellingShingle Shao, M.
Leung, Yee-Hong
Wu, W.
Rule acquisition and complexity reduction in formal decision contexts
title Rule acquisition and complexity reduction in formal decision contexts
title_full Rule acquisition and complexity reduction in formal decision contexts
title_fullStr Rule acquisition and complexity reduction in formal decision contexts
title_full_unstemmed Rule acquisition and complexity reduction in formal decision contexts
title_short Rule acquisition and complexity reduction in formal decision contexts
title_sort rule acquisition and complexity reduction in formal decision contexts
url http://hdl.handle.net/20.500.11937/56570