Volume 6 Number 4 (Apr. 2011)
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JSW 2011 Vol.6(4): 662-669 ISSN: 1796-217X
doi: 10.4304/jsw.6.4.662-669

Uncertain Linguistic Multiple Attribute Group Decision Making Approach and Its Application to Software Project Selection

Yao Zhang1, Zhi-Ping Fan2
1Department of Economics, School of Business Administration, Northeastern University, Shenyang 110004, China
2Department of Management Science and Engineering, School of Business Administration, Northeastern University, Shenyang 110004, China


Abstract—This paper proposes a new approach to solve the multiple attribute group decision making (MAGDM) problem where attribute values are in the format of uncertain linguistic information and attribute weights are in the format of linguistic information. Firstly, concepts and comparison laws of uncertain 2-tuple are given. Then, an uncertain 2-tuple ordered weighted averaging (UTOWA) operator is used to calculate alternative appraisal values with respect to all attributes for each decision maker (DM) and to aggregate all DMs’ preferences into a collective opinion. Furthermore, ranking alternatives or selecting the most desirable alternative(s) is conducted according to the comparison laws. Finally, a numerical example on software project selection is used to illustrate the applicability and effectiveness of the proposed approach.

Index Terms—Multiple attribute group decision making (MAGDM); Uncertain linguistic information; Uncertain 2- tuple; Uncertain 2-tuple ordered weighted averaging (UTOWA) operator; Software project selection

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Cite: Yao Zhang, Zhi-Ping Fan, "Uncertain Linguistic Multiple Attribute Group Decision Making Approach and Its Application to Software Project Selection," Journal of Software vol. 6, no. 4, pp. 662-669, 2011.

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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