Linguistic Approaches to Interval Complex Neutrosophic Sets in Decision Making

One of the most efcient tools for modeling uncertainty in decision-making problems is the neutrosophic set (NS) and its extensions, such as complex NS (CNS), interval NS (INS), and interval complex NS (ICNS). Linguistic variables have been long recognized as a useful tool in decision-making problems for solving the problem of crisp neutrosophic membership degree. In this paper, we aim to introduce new concepts: single-valued linguistic complex neutrosophic set (SVLCNS-2) and interval linguistic complex
neutrosophic set (ILCNS-2) that are more applicable and adjustable to real-world implementation than those of their previous counterparts.