The role of multipolar uncertain statistics cannot be unheeded while confronting daily life problems on well-founded basis.Fusion (aggregation) of a number of input values in multipolar form into a sole multipolar output value is an essential tool not merely of physics or mathematics but also of widely held problems of economics, commerce and trade, engineering, social sciences, decision-making problems, life sciences, and many more.The problem of aggregation is very THICKENING SHAMPOO wide-ranging and fascinating, in general.We use, in this article, Pythagorean fuzzy numbers (PFNs) Animal Art in multipolar form to contrive imprecise information.We introduce Pythagorean m-polar fuzzy weighted averaging (PmFWA), Pythagorean m-polar fuzzy weighted geometric (PmFWG), symmetric Pythagorean m-polar fuzzy weighted averaging (SPmFWA), and symmetric Pythagorean m-polar fuzzy weighted geometric (SPmFWG) operators for aggregating uncertain data.
Finally, we present a practical example to illustrate the application of the proposed operators and to demonstrate its practicality and effectiveness towards investment strategic decision making.