Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 12, Pages 15286-15295Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.06.022
Keywords
Dynamic intuitionistic fuzzy multi-attribute group decision making (DIF-MAGDM); Intuitionistic fuzzy numbers (IFNs); Aggregation operators; Intuitionistic fuzzy TOPSIS method; Consensus
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Funding
- National Natural Science Foundation of China [70971005, 90924020]
- Key Projects in the National Science and Technology Specific Program of China [2006BAK04A23]
- Concordia University
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This paper investigates the dynamic intuitionistic fuzzy multi-attribute group decision making (DIF-MAGDM) problems, in which all the attribute values provided by multiple decision makers (DMs) at different periods take the form of intuitionistic fuzzy numbers (IFNs), and develops an interactive method to solve the DIF-MAGDM problems. The developed method first aggregates the individual intuitionistic fuzzy decision matrices at different periods into an individual collective intuitionistic fuzzy decision matrix for each decision maker by using the dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator, and then employs intuitionistic fuzzy TOPSIS method to calculate the individual relative closeness coefficient of each alternative for each decision maker and obtain the individual ranking of alternatives. After doing so, the method utilizes the hybrid weighted averaging (HWA) operator to aggregate all the individual relative closeness coefficients into the collective relative closeness coefficient of each alternative and obtain the aggregate ranking of alternatives, by which the optimal alternative can be selected. In addition, the spearman correlation coefficient for both the aggregate ranking and individual ranking of alternatives is calculated to measure the consensus level of the group preferences. Finally, a numerical example is used to illustrate the developed method. (C) 2011 Elsevier Ltd. All rights reserved.
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