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
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