The　Analytic　Hierarchy　Process　(AHP)　approach　has　been　widely　used　in　multi-criteria　decision-making　(MCDM).　The　most　critical　step　of　AHP　is　the　construction　of　comparison　matrix　(CM)　with　pairwise　comparison　method.　Mostly,　CM　is　not　consistent　as　required.　This　study　analyzes　the　consistency　of　CM　and　proposes　a　new　way　to　revise/reconstruct　CM　by　using　Transitive　Comparison　Method　(TCM).　The　strengths　of　TCM　in　improving　consistency　are　confirmed　by　MATLAB　simulation.　A　case　study　is　presented　to　illustrate　the　performance　of　TCM　when　applied　to　risk　identification　in　pit　collapse.　The　application　results　show　that　TCM　is　superior　to　AHP　in　terms　of　CMs　consistency,　correcting　information　extraction.