A multi‐attribute decision analysis method based on rough sets dealing with uncertain information
Abstract
Purpose
The purpose of this paper is to propose a multi‐attribute decision‐making method based on the concept of extended dominance relation and variable precision rough sets.
Design/methodology/approach
First, the definitions of extended dominance relation and variable precision rough sets are introduced in detail. Second, two types of extended dominance rules are obtained from the pairwise comparison table. Third, a scoring function is defined and sorted to score all the objects. Finally, a case about the emergency decision making after an earthquake is discussed to demonstrate the feasibility and efficiency of the method.
Findings
It is found that the new method can deal with decision‐making problems with incomplete information. Numerical examples show that the method has good application prospects in public emergency decision making, including an earthquake emergency.
Practical implications
The method shown in the paper can be used for solving decision‐making problems with incomplete information.
Originality/value
The paper develops a novel multi‐attribute decision analysis method dealing with incomplete information based on rough sets theory.
Keywords
Citation
Ming‐li, H., Fei‐fei, S. and Ya‐huan, C. (2012), "A multi‐attribute decision analysis method based on rough sets dealing with uncertain information", Grey Systems: Theory and Application, Vol. 2 No. 2, pp. 324-333. https://doi.org/10.1108/20439371211260270
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited