{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:32:08Z","timestamp":1777703528931,"version":"3.51.4"},"reference-count":7,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2015,11,21]],"date-time":"2015-11-21T00:00:00Z","timestamp":1448064000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2015,11,27]]},"abstract":"<jats:p>While the heights and numbers of tires in the assembly line are changing, the traditional methods are difficult to identify the types of the tires, so an indirect tire identification method is proposed to identify the types of the tires, which uses the widths of the tires, the diameters and the shapes of the hubs to classify the tires. First, the tires are identified according to the widths and diameters by using the fuzzy C-means clustering algorithm. Second, the shapes of the hubs are used to distinguish the tires with similar dimensions. Finally, a two-layered fuzzy scheme is designed to identify the tires. Experimental results show that the two-layered fuzzy scheme is more effective than the fuzzy C-means clustering algorithm. And the proposed indirect tire identification method can achieve an accuracy of above 99.9% in the assembly line of tires.<\/jats:p>","DOI":"10.3233\/ifs-151984","type":"journal-article","created":{"date-parts":[[2015,12,9]],"date-time":"2015-12-09T14:29:46Z","timestamp":1449671386000},"page":"2795-2800","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["An indirect tire identification method based on a two-layered fuzzy scheme"],"prefix":"10.1177","volume":"29","author":[{"given":"Dailin","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dengming","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingming","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youping","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,11,21]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"Cognex DataMan barcode readers guide 2015"},{"key":"e_1_3_1_3_2","first-page":"345","article-title":"Occlusion, clutter, and illumination invariant object recognition","volume":"34","author":"Steger C","year":"2002","unstructured":"Steger C2002Occlusion, clutter, and illumination invariant object recognitionInternational Archives of Photogrammetry and Remote Sensing34345350","journal-title":"International Archives of Photogrammetry and Remote Sensing"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2158651"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1049\/el.2012.3304"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-141407"},{"key":"e_1_3_1_7_2","first-page":"21","author":"Yu X","year":"2013","unstructured":"Yu X, Gou P, Su L2013Study on tire sidewall marking recognition based on moments, ICINIS20132124Shenyang, China","journal-title":"Study on tire sidewall marking recognition based on moments, ICINIS2013"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-141378"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-151984","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/IFS-151984","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-151984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:38:53Z","timestamp":1777455533000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-151984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,21]]},"references-count":7,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,11,27]]}},"alternative-id":["10.3233\/IFS-151984"],"URL":"https:\/\/doi.org\/10.3233\/ifs-151984","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,21]]}}}