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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...

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Main Authors: Mahmood, Khalid, Rahmah, Mokhtar, Fauziah, Zainuddin, Nor Azhar, Ahmad, Noraziah, Ahmad, Norshita, MN
Format: Conference or Workshop Item
Language:English
Published: IEEE 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/32076/1/125.pdf
http://umpir.ump.edu.my/id/eprint/32076/
https://doi.org/10.1109/ICSECS52883.2021.00128
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spelling my.ump.umpir.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 https://doi.org/10.1109/ICSECS52883.2021.00128
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
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
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.
format Conference or Workshop Item
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
title 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_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_sort impact of exponent variable on the performance and effectiveness of fcm algorithm for ontology construction in structured knowledge management
publisher IEEE
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/32076/1/125.pdf
http://umpir.ump.edu.my/id/eprint/32076/
https://doi.org/10.1109/ICSECS52883.2021.00128
_version_ 1717093637435686912
score 13.211869

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