Analysis and control of variability by using fuzzy individual control charts

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• 作者：İhsan Kaya ; ^{iekaya@yahoo.com} ; ^{ihkaya@yildiz.edu.tr} ; Melike Erdoğan ; Cansın Yıldız
• 关键词：Control charts ; Forecasting ; Fuzzy logic ; BIST-30 Index ; Statistical process control ; Variability
• 刊名：Applied Soft Computing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：51
• 期：Complete
• 页码：370-381
• 全文大小：2471 K
• 卷排序：51

文摘

The detection of changes in a process within shortest time provides significant benefits in terms of cost and quality. A fuzzy control chart for individual measurements (FCCIM) has been proposed in the first time. Exponential smoothing method is used to forecast the variability of stock price of BIST-30 index by using MINITAB statistical software. A fuzzy individual control chart (FICC) and a fuzzy moving range control chart (FMRCC) with fuzzy control rules have been developed to be used in determining the variability in finance sector.