School of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, China
Copyright © 2012 Xiaoyan Zhang and Weihua Xu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We aim to investigate intuitionistic fuzzy ordered information
systems. The concept of intuitionistic fuzzy ordered information
systems is proposed firstly by introducing an intuitionistic fuzzy relation
to ordered information systems. And a ranking approach for all objects
is constructed in this system. In order to simplify knowledge representation,
it is necessary to reduce some dispensable attributes in the system.
Theories of rough set are investigated in intuitionistic fuzzy ordered information
systems by defining two approximation operators. Moreover,
judgement theorems and methods of attribute reduction are discussed
based on discernibility matrix in the systems, and an illustrative example is
employed to show its validity. These results will be helpful for decisionmaking
analysis in intuitionistic fuzzy ordered information systems.