Approaches to multiple attribute decision making based on picture 2-tuple linguistic power Hamy mean aggregation operators

In this paper, the multiple attribute decision making (MADM) problems are investigated with picture 2-tuple linguistic information. Then, based on Hamy mean (HM) operator and dual (DHM) operator, power average geometric operations utilized to develop some aggregation operators: weighted (P2TLPWHM) (P2TLPWDHM) ordered (P2TLPOWHM) (P2TLPOWDHM) hybrid (P2TLPHHM) (P2TLPHDHM) operator. The prominent characteristic of these proposed operators studied. approaches solve problems. Finally, method is demonstrated through a practical example for enterprise resource planning (ERP) system selection how methods help us effective in MADM