With　the　development　of　information　technology,　a　large　amount　of　valuable　information　has　been　accumulated　in　the　Internet,　which　has　become　an　important　source　of　information　in　multi-criteria　decision-making　(MCDM).　Due　to　the　differences　of　personal　knowledge　background,　experience,　expression　habits,　and　different　criteria　characteristics,　online　reviews　usually　consists　of　many　forms　of　information,　such　as　crisp　numbers,　interval　numbers,　and　text.　This　heterogeneity　of　information　will　bring　new　challenges　to　information　processing,　fusion　and　alternative　selection　in　the　decision　process.　In　order　to　address　these　challenges,　a　MCDM　method　based　on　heterogeneous　online　reviews　is　proposed.　First,　heterogeneous　online　reviews　related　to　decision-making　problems　are　obtained　through　data　acquisition　and　preprocessing　methods.　Then,　a　heterogeneous　information　processing　method　is　proposed　to　uniformly　process　these　different　forms　of　information　into　linguistic　distribution　information.　Next,　in　order　to　cope　with　the　ambiguity　and　uncertainty　in　online　information,　an　interval　weight　determination　model　and　an　information　fusion　method　based　on　evidence　reasoning　algorithm　are　proposed.　Finally,　the　practicality　and　validity　are　verified　by　a　case　study　regarding　vehicle　evaluation.　©　2024　Systems　Engineering　Society　of　China.　All　rights　reserved.