The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management

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

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DOI/Official URL: https://doi.org/10.1109/ICSECS52883.2021.00128

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Fuzzy logic, Scientific computing, Semantics, Clustering algorithms, Ontologies, Big Data, Knowledge management
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Dr. Rahmah Mokhtar
Date Deposited:	12 Nov 2021 08:06
Last Modified:	12 Nov 2021 08:06
URI:	http://umpir.ump.edu.my/id/eprint/32076
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