This　paper　studies　the　optimal　selection　of　planting　Chinese　Herbal　Medicine　(CHM),　which　has　many　attributes　and　stakeholders,　and　where　some　assessment　information　cannot　be　obtained　directly　from　the　official　websites.　The　assessment　information　is　categorized　into　two　groups:　precise　and　interval　numbers　that　can　be　obtained　from　the　official　sites,　and　precise　information　obtained　through　expert　surveys　and　questionnaires.　A　three-step　group　decision-making　mechanism　is　proposed　for　the　CHM　problem.　First,　an　analytical　method　based　on　in-terval　evidence　reasoning　is　formed　to　unify　different　forms　of　information　into　the　same　interval　belief　structure.　Next,　a　model　based　on　the　geometric　area　method　is　formed　to　obtain　the　weights　of　the　attributes.　Third,　the　extended　interval　regret　theory　is　used　to　rank　the　alternative　solutions.　Applying　perceived　utility　value　and　the　ranking　of　the　alternatives,　an　optimal　solution　for　planting　CHM　is　found.　Comparative　and　sensitivity　analyses　highlight　the　flexibility　and　reliability　of　the　suggested　solution.　By　evaluating　the　various　parameters,　decision　-makers　in　CHM　can　prioritize　their　decisions　for　maximal　benefit.