Abstract
Based on entropy and similarity measure of intuitionistic fuzzy sets, a novel approach is proposed to determine weights of the IFOWA operator in this paper. Then, an intuitionistic fuzzy dependent OWA (IFDOWA) operator is defined and applied to handling multi-attribute group decision making problem with intuitionistic fuzzy information. Finally, an example is given to demonstrate the rationality and validity of the proposed approach.
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Acknowledgments
The authors are grateful to the anonymous referees for their insightful and valuable suggestions to our original submission to the 8th International Conference on Knowledge,Information, and Creativity Support Systems (KICSS2013) [16]. The authors also owe gratitude to the on-site participants and the editors of proceedings for their comments for the modification of the conference paper into an extended and improved manuscript. The work is supported by the Natural Science Foundation of China (71171187, 71371107), the National Basic Research Program of China (2010CB731405), and Science Foundation of Shandong Province (ZR2013GM011).
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Wei, C., Tang, X. (2016). An Argument-Dependent Approach to Determining the Weights of IFOWA Operator. In: Skulimowski, A., Kacprzyk, J. (eds) Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions. Advances in Intelligent Systems and Computing, vol 364. Springer, Cham. https://doi.org/10.1007/978-3-319-19090-7_7
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