To　achieve　sustainable　management　of　municipal　solid　waste,　selecting　an　appropriate　waste　to　energy　(WTE)　technology　is　pivotal.　The　WTE　technology　selection　is　a　complicated　issue　because　it　involves　a　range　of　conflicting　criteria　and　a　rich　diversity　of　stakeholders.　Moreover,　the　complexity　will　be　multiplied　when　considering　that　the　preference　information　provided　by　different　people　with　respect　to　different　criteria　takes　different　forms　and　granularities.　To　tackle　the　WTE　technology　selection　problems　with　multi-granular　hybrid　information,　this　paper　proposes　a　new　group　decision-making　framework.　The　proposed　framework　provides　a　reasonable　solution　to　the　WTE　technology　selection　problems　through　four　stages.　In　the　first　stage,　three　information　transformation　mechanisms　are　established　to　transform　information　in　different　forms　and　granularities　into　unified　belief　structures.　In　the　second　stage,　a　symmetrical　cross-entropy　measure-based　weight　determination　model　is　developed　to　calculate　the　criteria　weights.　In　the　third　stage,　by　combining　information　transformation　mechanisms　and　criteria　weights,　the　analytical　evidential　reasoning　algorithm　is　extended　to　generate　group　opinions.　Finally,　according　to　the　generated　group　opinions,　the　expected　utilities　of　alternatives　are　calculated　to　compare　and　rank　the　alternatives.　To　illustrate　the　implementation　process　of　the　proposed　decision-making　framework,　an　application　about　the　WTE　technology　selection　in　China　is　performed.　Besides,　a　comparative　experiment　is　conducted　to　show　the　flexibility　and　reliability　of　our　proposal.　©　2021　Elsevier　Inc.