In　order　to　avoid　the　hesitation　of　choosing　between　aggressive　and　benevolent　strategies,　we　propose　two　cross-efficiency　models　to　get　interval　cross-efficiency　(ICE)　from　the　relatively　neutral　angle　in　fuzzy　environment,　and　then　propose　a　novel　aggregation　method　for　ICE　to　solve　the　full　ranking　of　Decision-Making　Units　(DMUs).　Firstly,　regard　the　expected　value　of　fuzzy　data　as　the　input　and　output　of　Data　Envelopment　Analysis　(DEA)　method　based　on　fuzzy　set　theory.　Secondly,　construct　the　cross-efficiency　models　based　on　the　fuzzy　expected　values　from　the　relatively　neutral　angle,　and　generate　the　lower　and　upper　bounds　of　ICE　for　all　DMUs,　which　determines　the　interval　cross-efficiency　matrix　(ICEM).　Thirdly,　project　all　ICE　onto　the　plane　as　points,　then　seek　the　optimal　rally　point　for　each　DMU　based　on　ICEM　as　the　comprehensive　ICE.　Fourthly,　rank　the　comprehensive　ICE　to　obtain　the　complete　ranking　of　DMUs　by　using　the　optimal　number　sorting　method.　Finally,　the　proposed　model　is　applied　to　the　evaluation　of　manufacturing　enterprises,　and　the　results　are　compared　with　different　models　to　prove　its　effectiveness.