An interval fuzzy number-based fuzzy collaborative forecasting approach for DRAM yield forecasting
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 se...
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| Vydáno v: | Complex & intelligent systems Ročník 7; číslo 1; s. 111 - 122 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Cham
Springer International Publishing
01.02.2021
Springer Nature B.V |
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| ISSN: | 2199-4536, 2198-6053 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Chiu, Min-Chi Chen, Toly |
| Author_xml | – sequence: 1 givenname: Toly surname: Chen fullname: Chen, Toly organization: Department of Industrial Engineering and Management, National Chiao Tung University – sequence: 2 givenname: Min-Chi orcidid: 0000-0001-6938-2391 surname: Chiu fullname: Chiu, Min-Chi email: mcchiu@ncut.edu.tw organization: Department of Industrial Engineering and Management, National Chin-Yi University of Technology |
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| Title | An interval fuzzy number-based fuzzy collaborative forecasting approach for DRAM yield forecasting |
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