期刊論文
學年 | 94 |
---|---|
學期 | 1 |
出版(發表)日期 | 2005-09-28 |
作品名稱 | Fuzzy process control: construction of control charts with fuzzy numbers |
作品名稱(其他語言) | |
著者 | 鄭啟斌 |
單位 | 淡江大學資訊管理學系 |
出版者 | |
著錄名稱、卷期、頁數 | Fuzzy Sets and Systems 154(2), pp.287-303 |
摘要 | This paper presents the construction of fuzzy control charts for a process with fuzzy outcomes derived from the subjective quality ratings provided by a group of experts. The proposed fuzzy process control (FPC) methodology comprises an off-line stage and an on-line stage. In the off-line stage, experts assign quality ratings to products based on a numerical scale. The individual numerical ratings are then aggregated to form collective opinions expressed in the form of fuzzy numbers. The collective knowledge applied by the experts when conducting the quality rating process is acquired through a process of fuzzy regression analysis performed by a neural network. In the on-line stage, the product dimensions are measured, and the fuzzy regression model is employed to automate the experts’ judgments by mapping the measured dimensions to appropriate fuzzy quality ratings. The fuzzy quality ratings are then plotted on fuzzy control charts, whose construction and out-of-control conditions are developed using possibility theory. The developed control charts not only monitor the central tendency of the process, but also indicate its degree of fuzziness. |
關鍵字 | Fuzzy process control;Fuzzy numbers;Possibility theory;Fuzzy regression analysis;Control charts |
語言 | en |
ISSN | 1872-6801 0165-0114 |
期刊性質 | 國外 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | 否 |
國別 | NLD |
公開徵稿 | |
出版型式 | ,電子版,紙本 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68570 ) |