Application of Fuzzy Logic Approach in Statistical Control Charts
نویسنده
چکیده
Control charts are widely used in industry as a tool to monitor process characteristics. Deviations from process targets can be detected based on the evidence of statistical significance. The control chart helps to take decisions such as the need for machine or technology replacement to monitor the process with categorical observations. Fuzzy logic is used to cram the uncertainty and vagueness of the data. A new method based on fuzzy logic is proposed for monitoring attribute quality characteristics and also measures the process in the short-run. The short-run α-cut p-control chart technique is developed for fuzzy data in the short-run situation. Keyword: Fuzzy Logic, Statistical Control Charts, Short-run α -cut p-control chart technique, Short-run data and Fuzzy control charting technique ♣ Note to author: Use 2017 Fuzzy Logic Approach in Statistical Control Charts.
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