Frank Prioritized Aggregation Operators and WASPAS Method Based on Complex Intuitionistic Fuzzy Sets and Their Application in Multi-Attribute Decision-Making

Complex intuitionistic fuzzy (CIF) information covers the degree of membership and non-membership in form polar coordinates with a valuable dominant characteristic where sum real parts (the same rule for imaginary parts) pair must be contained unit interval. In this paper, we first derive Frank operational laws CIF then examine prioritized aggregation operators based on managing theory information. These are averaging (CIFFPA) operator, ordered (CIFFPOA) geometric (CIFFPG) (CIFFPOG) operator properties idempotency, monotonicity, boundedness. Furthermore, WASPAS (weighted aggregates product assessment) under consideration or presence try to justify it help suitable example. Additionally, illustrate some numerical examples MADM (multi-attribute decision-making) procedures evaluating comparison between proposed well-known existing show validity worth approaches.