Confidence Levels-Based Cubic Fermatean Fuzzy Aggregation Operators and Their Application to MCDM Problems

Assessment specialists (experts) are sometimes expected to provide two types of information: knowledge rating domains and the performance objects (called confidence levels). Unfortunately, results previous information aggregation studies cannot be properly used combine categories data covered above. Additionally, a significant range symmetric/asymmetric events structures frequently included in implementation process or practical use fuzzy systems. The primary goal current study was cubic Fermatean set features address such situations. To deal with ambiguous aggregated arguments, we defined operators degrees. Two initially proposed were weighted averaging (CCFFWA) operator geometric (CCFFWG) operator. They as framework create an MCDM process, which supported by example show how effective applicable it is. comparison computed carried out help existing approaches.