標題: | An interval fuzzy number-based fuzzy collaborative forecasting approach for DRAM yield forecasting |
作者: | Chen, Toly Chiu, Min-Chi 工業工程與管理學系 Department of Industrial Engineering and Management |
關鍵字: | Fuzzy collaborative forecasting;Interval fuzzy number;Mixed binary nonlinear programming |
公開日期: | 1-一月-1970 |
摘要: | Most existing fuzzy collaborative forecasting (FCF) methods adopt type-1 fuzzy numbers to represent fuzzy forecasts. FCF methods based on interval-valued fuzzy numbers (IFNs) are not widely used. However, the inner and outer sections of an IFN-based fuzzy forecast provide meaning information that serves different managerial purposes, which is a desirable feature for a FCF method. This study proposed an IFN-based FCF approach. Unlike existing IFN-based fuzzy association rules or fuzzy inference systems, the IFN-based FCF approach ensures that all actual values fall within the corresponding fuzzy forecasts. In addition, the IFN-based FCF approach optimizes the forecasting precision and accuracy with the outer and inner sections of the aggregation result, respectively. Based on the experimental results, the proposed FCF-II approach surpassed existing methods in forecasting the yield of a dynamic random access memory product. |
URI: | http://dx.doi.org/10.1007/s40747-020-00179-8 http://hdl.handle.net/11536/155211 |
ISSN: | 2199-4536 |
DOI: | 10.1007/s40747-020-00179-8 |
期刊: | COMPLEX & INTELLIGENT SYSTEMS |
起始頁: | 0 |
結束頁: | 0 |
顯示於類別: | 期刊論文 |