Selection Process Real-Life Application for New Type Complex Neutrosophic Sets Using Various Aggregation Operators

A new approach to multiple attribute decision-making (MADM) is presented in this article, which is based on (ȷ1, ȷ2, ȷ3) complex neutrosophic sets (CNS). We are extending the CNS in this way. Complex neutrosophic weighted averaging (CNWA), complex neutrosophic weighted geometric (CNWG), complex generalized neutrosophic weighted averaging (CGNWA), and complex generalized neutrosophic weighted geometric (CGNWG). An algorithm utilizing these operators was presented during our discussion. Extensive score and accuracy values are illustrated numerically. We will also discuss idempotency, boundedness, commutativity, and monotonicity of complex neutrosophic sets as part of this communication. You can find the best option faster, easier, and more conveniently with them. Therefore, complex (ȷ1, ȷ2, ȷ3) is more closely associated with more precise conclusions. A fascinating and intriguing finding was also revealed by the study.