Discovering attributes dependency for categorical data set based on soft set theory for better decision making
Attribute dependency concludes the association between attributes for better accurate decision making. However, the task involved in identifying the relation between categorical values in data set is a complex process. This main focus of this paper is to determine the attribute dependency in a real...
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my-unisza-ir.71372022-09-13T04:44:14Z http://eprints.unisza.edu.my/7137/ Discovering attributes dependency for categorical data set based on soft set theory for better decision making Mohd Isa, Awang Ahmad Nazari, Mohd Rose Fadhilah, Ahmad QA75 Electronic computers. Computer science Attribute dependency concludes the association between attributes for better accurate decision making. However, the task involved in identifying the relation between categorical values in data set is a complex process. This main focus of this paper is to determine the attribute dependency in a real world application. The proposed method is based on the notion of mapping inclusion from the soft set theory. The categorical data is transformed to predicate and value set to discover the dependency among the attributes. The result shows that the attribute dependencies obtained are comparable to the rough set approach. Hikari Ltd. 2015 Article PeerReviewed image en http://eprints.unisza.edu.my/7137/1/FH02-FIK-16-06428.jpg Mohd Isa, Awang and Ahmad Nazari, Mohd Rose and Fadhilah, Ahmad (2015) Discovering attributes dependency for categorical data set based on soft set theory for better decision making. Applied Mathematical Sciences, 9 (130). pp. 6477-6490. ISSN 1312885X [P] |
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QA75 Electronic computers. Computer science Mohd Isa, Awang Ahmad Nazari, Mohd Rose Fadhilah, Ahmad Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
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Attribute dependency concludes the association between attributes for better accurate decision making. However, the task involved in identifying the relation between categorical values in data set is a complex process. This main focus of this paper is to determine the attribute dependency in a real world application. The proposed method is based on the notion of mapping inclusion from the soft set theory. The categorical data is transformed to predicate and value set to discover the dependency among the attributes. The result shows that the attribute dependencies obtained are comparable to the rough set approach. |
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Article |
author |
Mohd Isa, Awang Ahmad Nazari, Mohd Rose Fadhilah, Ahmad |
author_facet |
Mohd Isa, Awang Ahmad Nazari, Mohd Rose Fadhilah, Ahmad |
author_sort |
Mohd Isa, Awang |
title |
Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
title_short |
Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
title_full |
Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
title_fullStr |
Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
title_full_unstemmed |
Discovering attributes dependency for categorical data set based on soft set theory for better decision making |
title_sort |
discovering attributes dependency for categorical data set based on soft set theory for better decision making |
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Hikari Ltd. |
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2015 |
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http://eprints.unisza.edu.my/7137/1/FH02-FIK-16-06428.jpg http://eprints.unisza.edu.my/7137/ |
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13.159267 |