Variable precision rough set for group decision-making: An application

  • Authors:

  • Gang Xie;Jinlong Zhang;K. K. Lai;Lean Yu

  • Affiliations:

  • Center for Energy and Environmental Policy Research (CEEP), Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, China and School of Management, Huazhong University of ...;School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;Department of Management Sciences, City University of Hong Kong, Hong Kong;Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, China

  • Venue:
  • International Journal of Approximate Reasoning
  • Year:
  • 2008

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Abstract

This study uses the variable precision rough set (VPRS) model as a tool to support group decision-making (GDM) in credit risk management. We consider the case that the classification in decision tables consisting of risk exposure (RE) may be partially erroneous, and use a variable precision factor @b"k to adjust the classification error. In this paper, we firstly combine VPRS and AHP to obtain the weight of condition attribute sets decided by each decision-maker (DM). Then, the integrated risk exposure (IRE) of attributes is obtained based on the three VPRS-based models. Subsequently, a new procedure of obtaining @b"k-stable intervals for DM"k is investigated. To verify the effectiveness of these proposed methods, an illustrative example is presented. The experimental results suggest that the VPRS-based IRE have advantages in recognizing important attributes.