Intuitionistic fuzzy Choquet aggregation operator based on Einstein operation laws

In this paper, we study the intuitionistic fuzzy information aggregationoperators based on einstein operation laws under the condition in which the aggregatedarguments are independent. the einstein-based intuitionistic fuzzy choquet averaging(eifca) operator is proposed. furthermore, the relationship between the eifca operatorand the ifca operator is investigated. the desirable properties of the eifca operator,such as boundeness, monotonicity, shift-invariance and homogeneity are discussed. amulti-criteria decision making approach, based on the eifca operator is proposed underintuitionistic fuzzy environment. a comparative example is given for demonstrating theapplicability of the proposed decision procedure and for nding links with other operatorsbaseddecision approach.