Data-driven fuzzy information granulation for predicting freight volume trends.
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| Title: | Data-driven fuzzy information granulation for predicting freight volume trends. |
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| Authors: | Gao Y; College of Traffic and Vehicle Engineering, Wuxi University, Wuxi, China., Wang X; College of Traffic and Vehicle Engineering, Wuxi University, Wuxi, China., Niu M; College of Traffic and Vehicle Engineering, Wuxi University, Wuxi, China., Li J; Freight Department, China Railway Lanzhou Group Co., Ltd., Lanzhou, China., Cai L; College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, China., Li R; College of Integrated Circuit Science and Engineering, Wuxi University, Wuxi, China. |
| Source: | PloS one [PLoS One] 2026 May 07; Vol. 21 (5), pp. e0348239. Date of Electronic Publication: 2026 May 07 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0348239 |
