The　q-rung　orthopair　uncertain　linguistic　set,　which　combines　the　q-rung　orthopair　fuzzy　set　and　uncertain　linguistic　variable,　can　simultaneously　represent　the　quantitative　and　qualitative　information　given　by　experts.　In　the　procedure　of　addressing　q-rung　orthopair　uncertain　linguistic　information,　to　eliminate　extreme　evaluation　values　for　arguments　and　capture　the　multilayer　heterogeneous　relationship　among　the　membership　function　and　attributes,　q-rung　orthopair　uncertain　linguistic　interaction　power　partitioned　Maclaurin　Symmetric　mean　operators　are　presented　in　this　paper.　Firstly,　we　introduce　the　interaction　operational　rules　between　q-rung　orthopair　uncertain　linguistic　sets.　Then,　we　integrate　the　power　average　operator　and　partitioned　Maclaurin　Symmetric　mean　(PMSM)　operator　into　a　framework　and　present　the　power　PMSM　(PPMSM)　operator.　Furthermore,　we　embed　the　PPMSM　operator　into　the　q-rung　orthopair　uncertain　linguistic　sets　based　on　the　interaction　operational　laws　and　propose　the　q-rung　orthopair　uncertain　linguistic　interaction　power　partitioned　Maclaurin　Symmetric　mean　operator　and　its　weighted　form.　Meanwhile,　we　analyze　some　properties　and　special　cases　of　the　proposed　operators.　Afterward,　we　report　an　algorithm　that　we　developed　for　handling　multi-attribute　decision-making　problems　based　on　the　proposed　operator.　Finally,　we　conduct　case　studies　and　comparison　analysis　over　existing　methods　to　demonstrate　the　effectiveness　and　superiority　of　the　proposed　algorithm.