Decision Support Model in Determining Factors and Its Dominant Criteria Affecting Cholesterol Level Based on Rough-Regression

  • Riswan Efendi
  • Mustafa Mat Deris
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 700)


The statistical regression models have been frequently used to explain the causal relationship between exogenous factors and the cholesterol level of patients. While, the dominant criteria for each exogenous factor which give impact to the cholesterol level are not yet investigated by previous studies. In this paper, we are interested to introduce a decision making model based on rough-regression in handling the significant contribution between the dominant criteria, exogenous and endogenous factors, respectively. The result showed the proposed model is able to investigate the dominant criteria and factors affecting cholesterol level patients. This model may help the counterparts in the decision making.


Rough-regression Decision making Dominant criteria Cholesterol level 



This study is supported by Research, Innovation, Commercialization, and Consultancy Management Office (ORICC) at Universiti Tun Hussein Onn Malaysia (UTHM) and in part by Contract Research Grant Vot. U689.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Computer ScienceUniversiti Tun Hussein Onn MalaysiaBatu PahatMalaysia
  2. 2.Mathematics Department, Faculty of Science and TechnologyState Islamic University of Sultan Syarif Kasim RiauPanam, PekanbaruIndonesia

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