Multiple Attribute Decision-Making Method Based upon Intuitionistic Fuzzy Partitioned Dual Maclaurin Symmetric Mean Operators

Abstract We propound the idea of partitioned dual Maclaurin symmetric mean (PDMSM) operator stimulated by mean, suppose that we can partition overall attributes into some portions and are interrelated in same portion, but not different portions. deal with decision-making issues using PDMSM intuitionistic fuzzy environment. also analysis features peculiar instance operator. And, extend to introduce weighted Then, several characteristics instances developed operators. A new multiple attribute (MADM) approach grounded on established is propounded; MADM method choose optimal alternative from alternatives. Finally, demonstrate designed more general effective than existing methods through comparative analysis.