Locating the assignable causes by use of the abnormal patterns of control chart is a widely used technology for manufacturing quality\ncontrol. If there are uncertainties about the occurrence degree of abnormal patterns, the diagnosis process is impossible to be carried\nout. Considering four common abnormal control chart patterns, this paper proposed a characteristic numbers based recognition\nmethod point by point to quantify the occurrence degree of abnormal patterns under uncertain conditions and a fuzzy inference\nsystem based on fuzzy logic to calculate the contribution degree of assignable causes with fuzzy abnormal patterns. Application case\nresults show that the proposed approach can give a ranked causes list under fuzzy control chart abnormal patterns and support the\nabnormity eliminating.
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