Table of Contents
ISRN Applied Mathematics
Volume 2013 (2013), Article ID 146026, 10 pages
Research Article

Hybrid Multiattribute Group Decision Making Based on Intuitionistic Fuzzy Information and GRA Method

School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China

Received 14 May 2013; Accepted 30 July 2013

Academic Editors: M.-H. Hsu and T. Y. Kam

Copyright © 2013 Jian Guo. 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.


Hybrid multiple attribute group decision making involves ranking and selecting competing courses of action available using attributes to evaluate the alternatives. The decision makers assessment information can be expressed in the form of real number, interval-valued number, linguistic variable, and the intuitionistic fuzzy number. All these evaluation information can be transformed to the form of intuitionistic fuzzy numbers. A combined GRA with intuitionistic fuzzy group decision-making approach is proposed. Firstly, the hybrid decision matrix is standardized and then transformed into an intuitionistic fuzzy decision matrix. Then, intuitionistic fuzzy averaging operator is utilized to aggregate opinions of decision makers. Intuitionistic fuzzy entropy is utilized to obtain the entropy weights of the criteria, respectively. After intuitionistic fuzzy positive ideal solution and intuitionistic fuzzy negative ideal solution are calculated, the grey relative relational degree of alternatives is obtained and alternatives are ranked. In the end, a numerical example illustrates the validity and applicability of the proposed method.