The　digital　transformation　of　enterprises　has　become　an　inevitable　development　trend　and　one　of　the　key　driving　forces　that　promotes　the　sustainable　development　of　enterprises.　However,　due　to　the　many　obstacles　of　financial　burdens,　technical　thresholds,　and　talent　shortages,　digital　transformation　has　become　a　challenging　task　for　entrepreneurial　Small　and　Medium-Sized　Enterprises　(SMEs).　Additionally,　many　competitive　digital　transformation　solutions　on　the　market　cause　confusion　when　enterprises　must　choose　one.　This　study　drew　a　new　information　error-driven　T-spherical　fuzzy　cloud　algorithm　to　evaluate　digital　transformation　solutions　of　entrepreneurial　SMEs　and　support　its　selection.　First,　an　evaluation　index　system　for　the　digital　transformation　solution　of　entrepreneurial　SMEs　was　established　from　four　aspects.　Then,　a　new　concept　of　a　T-spherical　fuzzy　cloud　was　defined　to　represent　the　evaluation　information　of　the　indicators.　Additionally,　a　T-spherical　Fuzzy　Cloud　Weighted　Heronian　Mean　(T-SFCWHM)　operator　was　used　to　aggregate　the　evaluation　information.　Afterward,　an　evaluation　and　selection　decision　framework　for　the　digital　transformation　solution　of　entrepreneurial　SMEs　based　on　the　T-SFCWHM　operator　was　developed.　Further,　a　practical　example　was　given　to　illustrate　the　effectiveness　of　the　proposed　method.　Finally,　a　discussion　of　the　findings　in　our　study　was　conducted,　and　the　conclusions　were　summarized.　©　2021　Elsevier　Ltd