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Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

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We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.
Title: Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making
Description:
We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator.
It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation.
We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator.
We also study its applicability in a decision-making problem concerning strategic selection of investments.
We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

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