Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 39, Issue 5, Pages 5881-5886Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.11.120
Keywords
Multiple attribute group decision making (MAGDM); 2-Tuple linguistic information; Power average operator; Dependent 2-tuple ordered weighted averaging (D2TOWA) operator; The dependent 2-tuple ordered weighted geometric (D2TOWG) operator
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Funding
- National Natural Science Foundation of China [61174149]
- Natural Science Foundation of CQ CSTC of the People's Republic of China [2011BA0035]
- Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [11XJC630011]
- China Postdoctoral Science Foundation [20100480269]
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We investigate the multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of 2-tuple linguistic information. Motivated by the ideal of dependent aggregation [Xu, Z. S. (2006). Dependent OWA operators. Lecture Notes in Artificial Intelligence, 3885, 172-178], in this paper, we develop some dependent 2-tuple linguistic aggregation operators: the dependent 2-tuple ordered weighted averaging (D2TOWA) operator and the dependent 2-tuple ordered weighted geometric (D2TOWG) operator, in which the associated weights only depend on the aggregated 2-tuple linguistic arguments and can relieve the influence of unfair 2-tuple linguistic arguments on the aggregated results by assigning low weights to those false and biased ones and then apply them to develop some approaches for multiple attribute group decision making with 2-tuples linguistic information. Finally, some illustrative examples are given to verify the developed approach and to demonstrate its practicality and effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.
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