With　respect　to　multicriteria　group　decision-making　(MCGDM)　problems　in　which　the　experts　have　different　priority　levels,　the　criteria　values　are　in　the　form　of　Pythagorean　fuzzy　uncertain　linguistic　variables　(PFULVs),　and　the　information　about　weights　of　experts　and　criteria　is　completely　unknown,　a　novel　decision-making　method　is　developed.　Firstly,　the　concept　of　PFULV　is　defined,　and　some　operational　laws,　score　function,　accuracy　function,　and　normalized　Hamming　distance　of　PFULVs　are　presented.　Then,　to　aggregate　information　given　by　all　experts,　the　Pythagorean　fuzzy　uncertain　linguistic　prioritized　weighted　averaging　aggregation　(PFULPWAA)　operator　and　the　Pythagorean　fuzzy　uncertain　linguistic　prioritized　weighted　geometric　aggregation　(PFULPWGA)　operator　are　proposed.　Furthermore,　in　order　to　get　a　comprehensive　evaluation　value　for　each　alternative,　the　Pythagorean　fuzzy　uncertain　linguistic　Maclaurin　symmetric　mean　aggregation　(PFULMSMA)　operator　and　the　weighted　PFULMSMA　(WPFULMSMA)　operator　are　proposed.　Moreover,　to　obtain　the　information　about　the　weights　of　criteria,　the　model　based　on　grey　relational　analysis　(GRA)　method　is　established.　Finally,　a　method　of　MCGDM　with　PFULVs　is　developed,　and　an　application　example　is　given　to　illustrate　the　validity　and　feasibility　of　the　provided　procedure.