Investigations　have　shown　that　human　error　is　the　most　common　cause　of　roof　bolting　injuries.　Human　error　probability　estimation　has　become　a　critical　issue　for　human　reliability　analysis　(HRA)　of　roof　bolting　operation.　Specialist　judgment　plays　a　crucial　role　in　quantifying　human　error　probability　in　the　field　because　of　limited　availability　of　empirical　data.　However,　the　aggregation　of　specialist　judgment　is　typically　not　carried　out　in　a　formal　way　in　HRA.　In　this　paper,　an　approach　to　combine　Bayesian　methodology　and　the　success　likelihood　index　method　was　to　build　a　computable　model　using　information　from　specialists　for　HRA　of　roof　bolting　operation.　A　numerical　example　was　used　to　illustrate　the　application　of　the　proposed　methodology.　Copyright　(c)　2015　John　Wiley　&　Sons,　Ltd.