doi: 10.4304/jsw.6.4.662-669
Uncertain Linguistic Multiple Attribute Group Decision Making Approach and Its Application to Software Project Selection
- 1 Department of Economics, School of Business Administration, Northeastern University, Shenyang 110004, China
- 2 Department 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.
Keywords
- Multiple
- attribute
- group
- decision
- making
How to Cite
Yao Zhang and 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. https://doi.org/ 10.4304/jsw.6.4.662-669
Copyright & License
Copyright © 2011 by the authors. 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 (CC BY 4.0).