The　purpose　of　this　paper　is　to　explore　how　port　enterprises　can　scientifically　select　a　better　logistic　service　provider　(LSP)　to　achieve　a　high　efficiency.　An　empirical　study　is　conducted　to　verify　the　effectiveness　of　the　combination　weighting-grey　synthetic　decision-making　method　by　helping　the　LSP　selection　of　a　port　enterprise　in　China.　Data　are　collected　from　questionnaires　administered　to　port　logistics＇　industry　professionals.　The　method　is　proposed,　which　associates　the　analysis　network　process　method　with　the　entropy　method　to　determine　the　combined　weights　of　the　evaluation　indexes.　The　improved　centre-point　triangular　whitenization　weight　function　is　introduced　to　cluster　the　alternative　port　LSPs　and　judge　the　corresponding　grey　classes.　Subsequently,　the　synthetic　weighted　decision-making　vectors　are　used　to　determine　the　grey　synthetic　decision-making　coefficient　vectors.　The　grey　synthetic　clustering　decision-making　coefficients　are　calculated　to　establish　a　synthetic　decision-making　rank　of　the　alternative　plans.　The　combined　method　can　help　the　port　enterprises　realize　the　selection　of　better　LSPs　in　a　scientific　manner.