Algorithm for solving the decision-making problems based on correlation coefficients under cubic intuitionistic fuzzy information: a case study in watershed hydrological system

Abstract Cubic intuitionistic fuzzy sets (CIFSs) are a powerful and relevant medium for expressing imprecise information to solve the decision-making problems. The conspicuous feature of their mathematical concept is that it considers simultaneously hallmarks both (IFSs) interval-valued IFSs. present paper divided into two parts: (i) defining correlation measures CIFSs; (ii) introducing algorithm CIFS information. Furthermore, few fundamental properties these examined in detail. Based on this, we define novel multi-criteria process illustrate numerical examples related watershed’s hydrological geographical areas, global recruitment problem so on. A contrastive analysis with several existing studies also administered test effectiveness verify proposed method.