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Mathematical Problems in Engineering
Volume 2016, Article ID 1687068, 8 pages
Research Article

Multistage Multiattribute Group Decision-Making Method Based on Triangular Fuzzy MULTIMOORA

1School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China
2Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China

Received 6 April 2016; Revised 26 June 2016; Accepted 3 July 2016

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2016 Wen-feng Dai et al. 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.


This paper proposed a new multiattribute group decision-making method, in which the period significance coefficients and the attribute significance coefficients are completely unknown, and the attribute values are triangular fuzzy numbers. At first, to obtain the period significance coefficients, the period significance coefficients optimization model is constructed according to the time degree and the differences of the decision information in different periods. Then, attribute significance coefficients are determined by the maximum deviation method. Based on this, alternatives are ranked by the triangular fuzzy ratio system method, the triangular fuzzy reference point method, and the triangular fuzzy full multiplicative form, respectively. The dominance theory is used for aggregating the subordinate rankings into the final ranking. Finally, a numerical example is presented to illustrate the feasibility and effectiveness of the proposed method.