Interval-Valued Intuitionistic Fuzzy Prioritized Ordered Weighted Averaging Operator and Its Application in Threat Assessment

The threat assessment of aerial targets is the basic method for improving the ability of air defense system to deal with multiple objects in complex environment. Considering both the uncertain and imprecise information and prioritization relationship of attributes, we propose an interval-valued intuitionistic fuzzy prioritized ordered weighted averaging (IVIF-POWA) operator-based threat assessment model. The contribution of this paper is twofold: 1) An IVIF-POWA operator is proposed, which expresses the imprecise and uncertain information with more suitable interval-valued intuitionistic fuzzy sets. 2) This work proposes a simple yet effective threat assessment model based on IVIF-POWA operator. Its efficiency and effectiveness are validated by comparing it with some popular operators in a numerical example.

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