With　the　popularity　of　the　Internet　and　the　development　of　social　media,　the　volume　of　Online　Textual　Reviews　(OTRs)　has　sharply　increased.　Even　though　these　reviews　offer　a　valuable　source　of　knowledge　to　address　complex　decision　situations,　the　proper　modeling　of　the　information　contained　in　the　OTRs　is　still　an　open　problem.　In　this　chapter,　a　multicriteria　decision　analysis　framework　for　OTRs　based　on　interval　type-2　fuzzy　sets　is　developed.　First,　the　OTRs　are　processed　by　data　cleaning　and　transformed　into　interval　type-2　fuzzy　distributed　structures　using　sentiment　analysis.　Then,　an　interval　type-2　fuzzy　entropy　weight　model　is　applied　to　determine　the　criteria　weights　and,　subsequently,　the　Evidential　Reasoning　(ER)　algorithm　is　used　to　fuse　the　interval　type-2　fuzzy　distributed　information　and　generate　the　interval-valued　expected　utility　of　each　alternative.　Afterward,　a　minimax　regret　approach　is　established　to　rank　the　obtained　interval-valued　expected　utilities.　Finally,　a　case　study　is　given　to　illustrate　the　implementation　process　of　the　proposed　method.　©　2024　selection　and　editorial　matter,　Walayat　Hussain,　Honghao　Gao,　Fethi　Rabhi　and　Luis　Martínez;　individual　chapters,　the　contributors.