Real-time fuzzy switching regression analysis: a convex hull approach

Ramli, Azizul Azhar and Watada, Junzo and Pedrycz, Witold (2009) Real-time fuzzy switching regression analysis: a convex hull approach. iiWAS '09 Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services .

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Official URL: http://dl.acm.org/citation.cfm?doid=1806338.180639...

Abstract

Regression models are well known and widely used as one of the important models in system modeling. In this paper, we extend the concept of regression models in order to handle hybrid data coming from various sources of data quite often exhibiting diverse levels of quality. The major objective of this study is to develop a convex hull method being regarded as a potential vehicle, which helps reduce the computing time, especially in real-time data analysis as well as an overall computational complexity. We propose an efficient real-time fuzzy switching regression analysis based on the convex hull approach in which a Beneath-Beyond algorithm is employed to design a convex hull. The method addresses situations when we have to deal with heterogeneous data. In the proposed design setting, we emphasize a pivotal role of convex hull approach which is crucial when alleviating limitations of a linear programming manifesting in system modeling.

Item Type:Article
Uncontrolled Keywords:Switching regression analysis; Heterogeneous data; Convex hull.
Subjects:Q Science > QA Mathematics > QA297 Numerical analysis. Analysis
ID Code:3135
Deposited By:Muhamad Azrul Hisam Salleh
Deposited On:07 Nov 2012 12:11
Last Modified:07 Nov 2012 12:11

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