Sensitivity in Weight Determining Methods for Interval Valued Intuitionistic Fuzzy MAGDM Problems
نویسندگان
چکیده
The Multiple Attribute Group Decision Making (MAGDM) problems are investigated in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices, and the information about attribute weights is partially known. Three different models are utilized for calculating the completely unknown attribute weights which are then used for aggregating the interval valued intuitionistic fuzzy information.The interval-valued intuitionistic fuzzy ordered weighted averaging (IIFOWA) operatorand the interval-valued intuitionistic fuzzy hybrid averaging (IIFHA) operator are used to combine the interval-valued intuitionistic fuzzy information and the collective interval-valued intuitionistic fuzzy decision matrix to get the overall intervalvalued intuitionistic fuzzy values of alternatives.Finally the ranking of the alternatives is done according to the correlation coefficients between the Interval Valued Intuitionistic Fuzzy Numbers(IVIFNs) and the most desirable alternative is selected. Numerical example is given to illustrate the effectiveness of the proposed approaches with sensitivity analysis.
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