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A convex hull-based fuzzy regression to information granules problem - an efficient solution to real-time data analysis

Ramli, Azizul Azhar and Watada, Junzo and Witold Pedrycz, Witold Pedrycz A convex hull-based fuzzy regression to information granules problem - an efficient solution to real-time data analysis. In: The 2nd International Conference on Software Engineering and Computer Systems (ICSECS2011), 27-29 June 2011, Universiti Malaysia Pahang, Pahang.

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Abstract

Regression models are well known and widely used as one of the important categories of models in system modelling. In this paper, we extend the concept of fuzzy regression in order to handle real-time implementation of data analysis of information granules. An ultimate objectives of this study is to develop a hybrid of a genetically-guided clustering algorithm called genetic algorithm-based Fuzzy C-Means (GA-FCM) and convex hull-based regression approach being regarded as a potential solution to the formation of information granules. It is shown that a setting of Granular Computing helps us reduce the computing time, especially in case of real-time data analysis, as well as an overall computational complexity. We propose an efficient real-time information granules regression analysis based on the convex hull approach in which a Beneath-Beyond algorithm is employed to design sub convex hulls as well as a main convex hull structure. In the proposed design setting, we emphasize a pivotal role of the convex hull approach or more specially the Beneath-Beyond algorithm, which becomes crucial in alleviating limitations of linear programming manifesting in system modelling.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: convex hull; Fuzzy C-Means; fuzzy regression; genetic algorithm; information granule
Subjects: Q Science > QA Mathematics > QA273 Probabilities. Mathematical statistics
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 18 Jan 2013 03:47
Last Modified: 21 Jan 2015 07:52
URI: http://eprints.uthm.edu.my/id/eprint/2944
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