Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering
As the core link of the “Internet + Recycling” process, the value identification of the sorting center is a great challenge due to its small and imbalanced data set. This paper utilizes transfer fuzzy c-means to improve the value assessment accuracy of the sorting center by transferring the knowledg...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/19/7629 |
| _version_ | 1797476799936987136 |
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| author | Cheng Cheng Xiaoli Luan |
| author_facet | Cheng Cheng Xiaoli Luan |
| author_sort | Cheng Cheng |
| collection | DOAJ |
| description | As the core link of the “Internet + Recycling” process, the value identification of the sorting center is a great challenge due to its small and imbalanced data set. This paper utilizes transfer fuzzy c-means to improve the value assessment accuracy of the sorting center by transferring the knowledge of customers clustering. To ensure the transfer effect, an inter-class balanced data selection method is proposed to select a balanced and more qualified subset of the source domain. Furthermore, an improved <i>RFM</i> (Recency, Frequency, and Monetary) model, named <i>GFMR</i> (Gap, Frequency, Monetary, and Repeat), has been presented to attain a more reasonable attribute description for sorting centers and consumers. The application in the field of electronic waste recycling shows the effectiveness and advantages of the proposed method. |
| first_indexed | 2024-03-09T21:08:50Z |
| format | Article |
| id | doaj.art-139f2cc4916f4ea9abcfc6d2f34e84b4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:08:50Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-139f2cc4916f4ea9abcfc6d2f34e84b42023-11-23T21:52:17ZengMDPI AGSensors1424-82202022-10-012219762910.3390/s22197629Sorting Center Value Identification of “Internet + Recycling” Based on Transfer ClusteringCheng Cheng0Xiaoli Luan1Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, ChinaKey Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, ChinaAs the core link of the “Internet + Recycling” process, the value identification of the sorting center is a great challenge due to its small and imbalanced data set. This paper utilizes transfer fuzzy c-means to improve the value assessment accuracy of the sorting center by transferring the knowledge of customers clustering. To ensure the transfer effect, an inter-class balanced data selection method is proposed to select a balanced and more qualified subset of the source domain. Furthermore, an improved <i>RFM</i> (Recency, Frequency, and Monetary) model, named <i>GFMR</i> (Gap, Frequency, Monetary, and Repeat), has been presented to attain a more reasonable attribute description for sorting centers and consumers. The application in the field of electronic waste recycling shows the effectiveness and advantages of the proposed method.https://www.mdpi.com/1424-8220/22/19/7629value identificationtransfer clusteringinter-class balanced data selection<i>GFMR</i> modelInternet + Recycling |
| spellingShingle | Cheng Cheng Xiaoli Luan Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering Sensors value identification transfer clustering inter-class balanced data selection <i>GFMR</i> model Internet + Recycling |
| title | Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering |
| title_full | Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering |
| title_fullStr | Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering |
| title_full_unstemmed | Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering |
| title_short | Sorting Center Value Identification of “Internet + Recycling” Based on Transfer Clustering |
| title_sort | sorting center value identification of internet recycling based on transfer clustering |
| topic | value identification transfer clustering inter-class balanced data selection <i>GFMR</i> model Internet + Recycling |
| url | https://www.mdpi.com/1424-8220/22/19/7629 |
| work_keys_str_mv | AT chengcheng sortingcentervalueidentificationofinternetrecyclingbasedontransferclustering AT xiaoliluan sortingcentervalueidentificationofinternetrecyclingbasedontransferclustering |