Abstract
In this paper, the Multiple Attribute Group Decision Making (MAGDM) problems is based on the Renyi's, Daroczy's and R-norm entropy weights especially when the attribute weights are completely unknown. The interval-valued intuitionistic fuzzy ordered weighted averaging (IIFOWA) operator and the interval-valued intuitionistic fuzzy hybrid averaging (IIFHA) operator are utilized to aggregate the interval-valued intuitionistic fuzzy decision matrices provided by the decision-makers. Correlation coefficient of Interval Valued Intuitionistic Fuzzy Sets (IVIFS) is utilized to rank the alternatives and select the most desirable one. A numerical illustration is presented to demonstrate the proposed approach.
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