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A multi‐attribute decision analysis method based on rough sets dealing with uncertain information

Hu Ming‐li (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Shen Fei‐fei (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Chen Ya‐huan (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 17 August 2012

196

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

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