Based　on　the　channel　status　information,　the　positioning　system　of　the　fingerprint　indoor　positioning　system　has　a　certain　increase　in　the　accuracy　of　the　indoor　positioning　of　the　Wi-Fi,　but　there　is　still　the　problem　of　data　redundancy　and　complex　resolution.　We　proposed　a　CSI　indoor　positioning　method　based　on　fuzzy　and　fuzzy　degradation　molecular　space:　first,　the　whole　location　space　is　divided　into　a　certain　intersecting　subspace,　and　then　based　on　the　status　of　the　realtime　CSI　sample,　the　weight　of　the　fingerprint　matching　algorithm　is　set,　and　the　fingerprint　matching　and　positioning　are　completed　in　the　subspace.　Experimental　results　show　that　our　method　is　superior　to　the　traditional　CSI　localization　method　in　positioning　efficiency.　©　2021　IEEE.