A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces
For many complex industrial applications, traditional attribute reduction algorithms are often inefficient in obtaining optimal reducts that align with mechanistic analyses and practical production requirements. To solve this problem, we propose a recursive attribute reduction algorithm that calcula...
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MDPI AG
2025-01-01
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| Series: | Big Data and Cognitive Computing |
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| Online Access: | https://www.mdpi.com/2504-2289/9/1/6 |
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| author | Zhanqi Li Pan Cheng Linzi Yin Yuyin Guan |
| author_facet | Zhanqi Li Pan Cheng Linzi Yin Yuyin Guan |
| author_sort | Zhanqi Li |
| collection | DOAJ |
| description | For many complex industrial applications, traditional attribute reduction algorithms are often inefficient in obtaining optimal reducts that align with mechanistic analyses and practical production requirements. To solve this problem, we propose a recursive attribute reduction algorithm that calculates the optimal reduct. First, we present the notion of priority sequence to describe the background meaning of attributes and evaluate the optimal reduct. Next, we define a necessary element set to identify the “individually necessary” characteristics of the attributes. On this basis, a recursive algorithm is proposed to calculate the optimal reduct. Its boundary logic is guided by the conflict between the necessary element set and the core attribute set. The experiments demonstrate the proposed algorithm’s uniqueness and its ability to enhance the prediction accuracy of the hot metal silicon content in blast furnaces. |
| format | Article |
| id | doaj-art-666a12cce25f42df9056106437b8269f |
| institution | Kabale University |
| issn | 2504-2289 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj-art-666a12cce25f42df9056106437b8269f2025-01-24T13:22:31ZengMDPI AGBig Data and Cognitive Computing2504-22892025-01-0191610.3390/bdcc9010006A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast FurnacesZhanqi Li0Pan Cheng1Linzi Yin2Yuyin Guan3School of Electronic Information, Central South University, Changsha 410083, ChinaSchool of Electronic Information, Central South University, Changsha 410083, ChinaSchool of Electronic Information, Central South University, Changsha 410083, ChinaSchool of Electronic Information, Central South University, Changsha 410083, ChinaFor many complex industrial applications, traditional attribute reduction algorithms are often inefficient in obtaining optimal reducts that align with mechanistic analyses and practical production requirements. To solve this problem, we propose a recursive attribute reduction algorithm that calculates the optimal reduct. First, we present the notion of priority sequence to describe the background meaning of attributes and evaluate the optimal reduct. Next, we define a necessary element set to identify the “individually necessary” characteristics of the attributes. On this basis, a recursive algorithm is proposed to calculate the optimal reduct. Its boundary logic is guided by the conflict between the necessary element set and the core attribute set. The experiments demonstrate the proposed algorithm’s uniqueness and its ability to enhance the prediction accuracy of the hot metal silicon content in blast furnaces.https://www.mdpi.com/2504-2289/9/1/6attribute reductionpriority sequencerecursive algorithmsilicon content |
| spellingShingle | Zhanqi Li Pan Cheng Linzi Yin Yuyin Guan A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces Big Data and Cognitive Computing attribute reduction priority sequence recursive algorithm silicon content |
| title | A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces |
| title_full | A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces |
| title_fullStr | A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces |
| title_full_unstemmed | A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces |
| title_short | A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces |
| title_sort | recursive attribute reduction algorithm and its application in predicting the hot metal silicon content in blast furnaces |
| topic | attribute reduction priority sequence recursive algorithm silicon content |
| url | https://www.mdpi.com/2504-2289/9/1/6 |
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