This　paper　proposes　a　context-aware　method　for　sentence　ordering　in　multi-document　summarization　task,　which　combines　support　vector　machine　(SVM)　and　Grey　Model　(GM).　Multi-Documents　summarization　task　focus　on　how　to　extract　main　information　of　document　set,　this　paper　aim　to　prove　the　coherence　of　summary　based　on　the　context　of　document　set.　Firstly,　the　method　trains　the　SVM　with　sentences　of　each　source　document　and　predict　sentences　sequence　of　summary　as　primary　dataset.　Secondly,　using　Grey　Model　to　process　the　primary　dataset,　according　to　the　analysis　we　achieve　the　final　sequence　of　summary　sentences.　Experiments　on　100　summaries　shown　this　method　provide　a　much　higher　precision　than　probabilistic　model　in　sentence　ordering　task.　©　2011　Springer　Science+Business　Media,　LLC.