Discrete　information　widely　exists　in　many　areas　such　as　expert　systems,　pattern　classification,　and　decision　analysis.　To　solve　the　problem　on　the　kind　of　information　fusion,　a　method　for　the　combining　evidence　of　discrete　intervalvalued　belief　structures　is　proposed.　Firstly,　each　discrete　evidence　is　separated　into　a　kind　of　single-valued　evidences.　Then,　the　bodies　of　intra-group　evidences　are　modified　with　the　objective　of　minimizing　evidence　conflict　and　combined　by　using　the　evidential　reasoning　(ER)　approach.　Finally,　the　bodies　of　extra-group　evidences　are　modified　and　combined　by　using　the　same　method.　It　not　only　solves　the　internal　and　external　conflict　problems　of　the　discrete　interval　evidence,　but　also　greatly　reduces　the　computational　complexity.　The　numerical　examples　show　the　efficiency　and　rationality　of　the　proposed　approach.　©　2016,　Editorial　Office　of　Control　and　Decision.　All　right　reserved.