In this paper, we investigate the multiple attribute decision making with hesitant fuzzy information. Motivated by the ideal of dependent aggregation, in this paper, we develop some dependent hesitant fuzzy aggregation operators: the dependent hesitant fuzzy ordered weighted averaging (DHFOWA) operator and the dependent hesitant fuzzy ordered weighted geometric (DHFOWG) operator, in which the associated weights only depend on the aggregated hesitant fuzzy arguments and can relieve the influence of unfair hesitant fuzzy arguments on the aggregated results by assigning low weights to those "false" and "biased" ones and then apply them to develop some approaches for multiple attribute group decision making with hesitant fuzzy information. Finally, an illustrative example for supplier selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.Keywords: Multiple attribute decision making, hesitant fuzzy information, dependent hesitant fuzzy ordered weighted averaging (DHFOWA) operator, dependent hesitant fuzzy ordered weighted geometric (DHFOWG) operator, supplier selection
In this paper, we investigate the dynamic linguistic multiple attribute decision making problems with 2-tuple linguistic information. In order to aggregate dynamic 2-tuple linguistic information, some new dynamic aggregation operators are proposed: the dynamic 2-tuple weighted averaging (DTWA) operator, dynamic 2-tuple weighted geometric (DTWG) operator and dynamic 2-tuple weighted harmonic averaging (DTWHA) operator. Furthermore, some procedures based on the DTWA/DTWG/ DTWHA operators and TWA/TWG/ TWHA operators are developed to solve the dynamic 2-tuple linguistic multiple attribute decision making problems where all the decision information about attribute values takes the form of 2-tuple linguistic information collected at different periods. Finally, an illustrative example for evaluating enterprise financial performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.
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