The　aim　of　this　paper　is　to　investigate　the　multi-attribute　group　decision　making　(MAGDM)　problems　with　respect　to　psychological　behavior　of　regret　aversion　of　decision　makers　(DMs),　in　which　the　attribute　values　are　expressed　in　multi-granular　linguistic　terms　and　numerical　values.　This　study　proposes　a　general　model　based　on　two-tuple　linguistics　to　deal　with　multi-granular　linguistic　information　in　order　to　manage　information　provided　by　different　experts.　Apractical　transformation　approach　is　developed,　which　makes　numerical　values　expressed　in　two-tuple　linguistics　and　further　converted　into　values　in　[0,　1]　interval.　Compared　with　the　traditional　MAGDM　model,　a　tri-level　decision　making　model　that　includes　a　top　DM,　multiple　middle　level　DMs　and　multiple　experts　is　considered.　A　novel　mathematical　programming　model　is　constructed　considering　all　middle　level　DMs＇　preference　information　and　regret　aversion.　Finally,　an　illustrative　example　is　given　to　verify　the　proposed　method.　The　results　and　comparative　analysis　demonstrate　its　effectiveness　and　practicability.