On soft partition attribute selection
Rough set theory provides a methodology for data analysis based on the approximation of information systems. It is revolves around the notion of discernibility i.e. the ability to distinguish between objects based on their attributes value. It allows inferring data dependencies that are useful in th...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer, Berlin, Heidelberg
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/27034/1/On%20soft%20partition%20attribute%20selection.pdf |
| _version_ | 1825813091236970496 |
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| author | Rabiei, Mamat Herawan, Tutut Noraziah, Ahmad Mustafa, Mat Deris |
| author_facet | Rabiei, Mamat Herawan, Tutut Noraziah, Ahmad Mustafa, Mat Deris |
| author_sort | Rabiei, Mamat |
| collection | UMP |
| description | Rough set theory provides a methodology for data analysis based on the approximation of information systems. It is revolves around the notion of discernibility i.e. the ability to distinguish between objects based on their attributes value. It allows inferring data dependencies that are useful in the fields of feature selection and decision model construction. Since it is proven that every rough set is a soft set, therefore, within the context of soft sets theory, we present a soft set-based framework for partition attribute selection. The paper unifies existing work in this direction, and introduces the concepts of maximum attribute relative to determine and rank the attribute in the multi-valued information system. Experimental results demonstrate the potentiality of the proposed technique to discover the attribute subsets, leading to partition selection models which better coverage and achieve lower computational time than that the baseline techniques. |
| first_indexed | 2024-03-06T12:38:52Z |
| format | Conference or Workshop Item |
| id | UMPir27034 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:38:52Z |
| publishDate | 2012 |
| publisher | Springer, Berlin, Heidelberg |
| record_format | dspace |
| spelling | UMPir270342020-03-24T00:05:21Z http://umpir.ump.edu.my/id/eprint/27034/ On soft partition attribute selection Rabiei, Mamat Herawan, Tutut Noraziah, Ahmad Mustafa, Mat Deris QA76 Computer software Rough set theory provides a methodology for data analysis based on the approximation of information systems. It is revolves around the notion of discernibility i.e. the ability to distinguish between objects based on their attributes value. It allows inferring data dependencies that are useful in the fields of feature selection and decision model construction. Since it is proven that every rough set is a soft set, therefore, within the context of soft sets theory, we present a soft set-based framework for partition attribute selection. The paper unifies existing work in this direction, and introduces the concepts of maximum attribute relative to determine and rank the attribute in the multi-valued information system. Experimental results demonstrate the potentiality of the proposed technique to discover the attribute subsets, leading to partition selection models which better coverage and achieve lower computational time than that the baseline techniques. Springer, Berlin, Heidelberg 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27034/1/On%20soft%20partition%20attribute%20selection.pdf Rabiei, Mamat and Herawan, Tutut and Noraziah, Ahmad and Mustafa, Mat Deris (2012) On soft partition attribute selection. In: 3rd International Conference on Information Computing and Applications (ICICA 2012) , 14-16 September 2012 , Chengde, China. pp. 508-515.. ISBN 978-3-642-34062-8 (Published) https://doi.org/10.1007/978-3-642-34062-8_66 |
| spellingShingle | QA76 Computer software Rabiei, Mamat Herawan, Tutut Noraziah, Ahmad Mustafa, Mat Deris On soft partition attribute selection |
| title | On soft partition attribute selection |
| title_full | On soft partition attribute selection |
| title_fullStr | On soft partition attribute selection |
| title_full_unstemmed | On soft partition attribute selection |
| title_short | On soft partition attribute selection |
| title_sort | on soft partition attribute selection |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/27034/1/On%20soft%20partition%20attribute%20selection.pdf |
| work_keys_str_mv | AT rabieimamat onsoftpartitionattributeselection AT herawantutut onsoftpartitionattributeselection AT noraziahahmad onsoftpartitionattributeselection AT mustafamatderis onsoftpartitionattributeselection |