期刊
IEEE ACCESS
卷 7, 期 -, 页码 127728-127744出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2937854
关键词
Intuitionistic fuzzy set; linguistic intuitionistic fuzzy numbers; Hamy mean operator; MAGDM
资金
- National Natural Science Foundation of China [71771140, 71471172]
- Special Funds of Taishan Scholars Project of Shandong Province [ts201511045]
The Hamy Mean (HM) operator is a useful aggregation tool characterized by considering the correlation between multiple integral parameters. The linguistic intuitionistic fuzzy numbers (LIFNs) use linguistic variables (LVs) to represent membership degree (MD) and non-membership degree (NMD), which can flexibly and accurately represent the ambiguity in the actual decision problem. Based on the operational laws of LIFNs, we extend the HM operator to the LIFNs, and put forward the HM operator for LIFNs (LIFHM) and the weighted HM operator for LIFNs (WLIFHM). In addition, we discuss the properties of LIFHM and WLIFHM operators and some special cases, then we propose a multiple-attribute group decision making (MAGDM) method based on the WLIFHM operator. Lastly, a practical example is given to illustrate the effectiveness of the proposed operators by comparing it with different methods.
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