期刊
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 26, 期 6, 页码 3057-3064出版社
IOS PRESS
DOI: 10.3233/IFS-130971
关键词
Multiple attribute decision making ( MADM); hesitant fuzzy elements; operational laws; hesitant fuzzy Einstein correlated averaging (HFECA) operator; hesitant fuzzy Einstein correlated geometric (HFECG) operator
资金
- National Natural Science Foundation of China [61174149]
We investigate the multiple attribute decision making (MADM) problems in which attribute values take the form of hesitant fuzzy information. Firstly, some operational laws of hesitant fuzzy elements and score function of hesitant fuzzy elements are introduced. In this paper, we utilize Einstein operations to develop some hesitant fuzzy correlated aggregation operators: hesitant fuzzy Einstein correlated averaging (HFECA) operator and hesitant fuzzy Einstein correlated geometric (HFECG) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the HFECA and HFECG operators to multiple attribute decision making with hesitant fuzzy information. Finally an illustrative example has been given to show the developed method.
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