Volume 7 Number 7 (Jul. 2012)
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JSW 2012 Vol.7(7): 1546-1553 ISSN: 1796-217X
doi: 10.4304/jsw.7.7.1546-1553

Multi-attribute Group Decision-making Method Based on Triangular Intuitionistic Fuzzy Number and 2-Tuple Linguistic Information

Xiaoyun Yue1, GuoKun Xia2, and Yanpo Li1
1Institution of Mathematics and Information Technology,Hebei Normal University of Science and Technology, Qinhuangdao 066004, China
2College of Science, Tianjin University of Science & Technology, Tianjin 300457,China
1Institution of Mathematics and Information Technology, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China


Abstract—For multiple attribute group decision-making problems, in which the attribute values are triangular intuitionistic fuzzy numbers and the attribute weight information is the linguistic evaluation, a multiple attribute group decision-making method is proposed. In the method, first, to transform the 2-tuple linguistic attribute weights to the real numbers. Then, to aggregate the experts’ preferences with triangular intuitionistic fuzzy number by the extended aggregation operators, the group overall evaluation values of the alternatives were obtained. The ranking could be present according to the weighted average area. Triangular intuitionistic fuzzy number and 2-tuple linguistic information are easier to deal with the fuzzy and the uncertain information of different decision makers. Finally, a numerical example was used to illustrate the proposed method. The result shows the approach is simple, effective, and easy to calculate.

Index Terms—multiple attribute group decision-making, triangular intuitionistic fuzzy number, 2-tuple linguistic information, aggregation operators

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Cite: Xiaoyun Yue, GuoKun Xia, and Yanpo Li, "Multi-attribute Group Decision-making Method Based on Triangular Intuitionistic Fuzzy Number and 2-Tuple Linguistic Information," Journal of Software vol. 7, no. 7, pp. 1546-1553, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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