The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management
Data Clustering is an effective mechanism for the clustering of similar data objects. Fuzzy logic based or soft data clustering technique is very suitable for the formation of data clusters semantically when a data object is the member of more than one clusters unlike hard data clustering technique...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/32076/ http://umpir.ump.edu.my/id/eprint/32076/1/125.pdf |
| _version_ | 1848823931479261184 |
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| author | Mahmood, Khalid Rahmah, Mokhtar Fauziah, Zainuddin Nor Azhar, Ahmad Noraziah, Ahmad Norshita, MN |
| author_facet | Mahmood, Khalid Rahmah, Mokhtar Fauziah, Zainuddin Nor Azhar, Ahmad Noraziah, Ahmad Norshita, MN |
| author_sort | Mahmood, Khalid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Data Clustering is an effective mechanism for the
clustering of similar data objects. Fuzzy logic based or soft data clustering technique is very suitable for the formation of data clusters semantically when a data object is the member of more than one clusters unlike hard data clustering techniques. Fuzzy exponent variable is one of the most important variable in fuzzy logic based clustering technique. This variable has significant impact on the performance and effectiveness of the clustering results. An experimental evaluation is performed to analyze the impact of fuzzy exponent variable in this study. The experiments
are performed on textual web document dataset through Fuzzy C-Means soft clustering technique. The results retrieved with various values of fuzzy exponent variable, are analyzed and presented to represent the performance and effectiveness. |
| first_indexed | 2025-11-15T03:04:58Z |
| format | Conference or Workshop Item |
| id | ump-32076 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:04:58Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-320762021-11-12T08:06:21Z http://umpir.ump.edu.my/id/eprint/32076/ The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management Mahmood, Khalid Rahmah, Mokhtar Fauziah, Zainuddin Nor Azhar, Ahmad Noraziah, Ahmad Norshita, MN QA75 Electronic computers. Computer science Data Clustering is an effective mechanism for the clustering of similar data objects. Fuzzy logic based or soft data clustering technique is very suitable for the formation of data clusters semantically when a data object is the member of more than one clusters unlike hard data clustering techniques. Fuzzy exponent variable is one of the most important variable in fuzzy logic based clustering technique. This variable has significant impact on the performance and effectiveness of the clustering results. An experimental evaluation is performed to analyze the impact of fuzzy exponent variable in this study. The experiments are performed on textual web document dataset through Fuzzy C-Means soft clustering technique. The results retrieved with various values of fuzzy exponent variable, are analyzed and presented to represent the performance and effectiveness. IEEE 2021-09-17 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32076/1/125.pdf Mahmood, Khalid and Rahmah, Mokhtar and Fauziah, Zainuddin and Nor Azhar, Ahmad and Noraziah, Ahmad and Norshita, MN (2021) The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management. In: IEEE 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM) , 24-26 August 2021 , Pekan, Pahang, Malaysia. pp. 673-678.. ISBN 978-1-6654-1407-4 (Published) https://doi.org/10.1109/ICSECS52883.2021.00128 |
| spellingShingle | QA75 Electronic computers. Computer science Mahmood, Khalid Rahmah, Mokhtar Fauziah, Zainuddin Nor Azhar, Ahmad Noraziah, Ahmad Norshita, MN The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title | The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title_full | The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title_fullStr | The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title_full_unstemmed | The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title_short | The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management |
| title_sort | impact of exponent variable on the performance and effectiveness of fcm algorithm for ontology construction in structured knowledge management |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/32076/ http://umpir.ump.edu.my/id/eprint/32076/ http://umpir.ump.edu.my/id/eprint/32076/1/125.pdf |