Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5624
Title: Data analysis technique to extract threshold value for Fuzzy Inference System in classifying malicious agents
Authors: Musa, N.A. 
Yusoff, M.Z.M. 
Yusoff, Y. 
Ismail, R. 
Issue Date: 2015
Journal: Conference Proceedings - 6th International Conference on Information Technology and Multimedia at UNITEN: Cultivating Creativity and Enabling Technology Through the Internet of Things, ICIMU 2014 23 March 2015, Article number 7066601, Pages 44-48 
Abstract: This paper describes a data analysis technique used to extract threshold values of a Fuzzy Inference System's (FIS) inputs. In this work, the FIS is used to classify malicious agents' behaviour in a Multi-Agent System (MAS) environment. The extraction of suitable FIS inputs threshold values in the MAS environment are based on data analysis derived from several simulation runs. Subsequently, the extracted threshold values are applied in the rules of the FIS framework for classifying malicious agents' behaviors. Results indicated that extracting the fuzzy threshold values using the data analysis technique is an acceptable alternative method when no domain expert is available. © 2014 IEEE.
DOI: 10.1109/ICIMU.2014.7066601
Appears in Collections:COE Scholarly Publication

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