Most　of　the　existing　Chinese　keyword　fuzzy　searchable　encryption　schemes　realize　fuzzy　keyword　search　utilizing　the　wildcard　and　gram　methods　to　construct　the　fuzzy　set,　which　consumes　a　lot　of　storage　and　computation　overheads.　In　this　paper,　we　propose　a　novel　Chinese　multi-keyword　fuzzy　rank　searchable　encryption　scheme,　which　achieves　efficient　fuzzy　keyword　search　without　constructing　a　large　fuzzy　set.　First,　the　Chinese　keyword　is　converted　to　the　pinyin　string,　which　is　partitioned　based　on　unigram,　or　the　mandarin　consonant,　vowel　and　tone　of　pinyin.　Then,　we　design　two　Chinese　keyword　vector　generation　algorithms　to　convert　a　pinyin　string　into　a　keyword　vector.　Moreover,　the　locality-sensitive　hashing　and　Bloom　filter　are　utilized　to　construct　the　fuzzy　keyword　search　algorithm.　We　design　two　schemes　to　realize　the　Chinese　fuzzy　multi-keyword　search,　and　all　of　them　utilize　a　single　Bloom　filter　as　the　encryption　index　of　a　document.　The　cloud　storage　server　only　needs　to　add　(or　delete)　an　encrypted　file　and　its　encrypted　index　to　realize　the　dynamic　update　of　the　files.　To　improve　the　accuracy　of　the　rank,　a　three-factor　rank　algorithm　is　proposed.　The　theoretical　analysis　and　experimental　results　indicate　that　the　proposed　schemes　realize　Chinese　multi-keyword　fuzzy　search,　more　accurate　search　result　rank,　guarantee　the　data　security,　and　save　a　large　amount　of　storage　and　computation　costs.　©　2019　Institute　of　Information　Science.　All　rights　reserved.