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- W4362199187 abstract "In this paper, we investigate the hesitant fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Motivated by the ideal of prioritized aggregation operators [R.R. Yager, Prioritized aggregation operators, International Journal of Approximate Reasoning 48 (2008) 263–274], we develop some prioritized aggregation operators for aggregating hesitant fuzzy information, and then apply them to develop some models for hesitant fuzzy multiple attribute decision making (MADM) problems in which the attributes are in different priority level. Finally, a practical example about talent introduction is given to verify the developed approaches and to demonstrate its practicality and effectiveness." @default.
- W4362199187 created "2023-04-05" @default.
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- W4362199187 date "2012-07-01" @default.
- W4362199187 modified "2023-10-11" @default.
- W4362199187 title "Hesitant fuzzy prioritized operators and their application to multiple attribute decision making" @default.
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- W4362199187 doi "https://doi.org/10.1016/j.knosys.2012.03.011" @default.
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