{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T19:20:11Z","timestamp":1770751211210,"version":"3.50.0"},"reference-count":10,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2015,10,28]],"date-time":"2015-10-28T00:00:00Z","timestamp":1445990400000},"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>To deal with the problem in emergency plan matching of highway traffic that incident description is incomplete, incident properties are unclear, and plan matching is inaccurate, etc., a plan matching method is proposed based on fuzzy sets and rough sets. The property weight calculation method based on rough sets is used to reduce the dependency on prior knowledge; the structural similarity calculation is used to solve the problem of property missing and matching angle varying; the fuzzy set calculation method is adopted to solve the problem of fuzzy property similarity missing. The traffic emergency plan matching case for Changzhou section of Shanghai-Nanjing highway demonstrates that the proposed method can improve the accuracy and reliability of highway traffic emergency matching, reflecting the advantages of rough sets and fuzzy sets in emergency plan matching.<\/jats:p>","DOI":"10.3233\/ifs-151942","type":"journal-article","created":{"date-parts":[[2015,12,9]],"date-time":"2015-12-09T14:25:39Z","timestamp":1449671139000},"page":"2421-2427","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Matching method for emergency plans of highway traffic based on fuzzy sets and rough sets"],"prefix":"10.1177","volume":"29","author":[{"given":"Gan","family":"Chai","sequence":"first","affiliation":[{"name":"Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu Province, China"}]},{"given":"Min-min","family":"Huang","sequence":"additional","affiliation":[{"name":"Automation Institute, Southeast University, Nanjing, Jiangsu Province, China"}]},{"given":"Jing","family":"Han","sequence":"additional","affiliation":[{"name":"Intelligent Transportation System Research Center, Southeast University, Nanjing, Jiangsu Province, China"}]},{"given":"Min","family":"Jiang","sequence":"additional","affiliation":[{"name":"Automation Institute, Southeast University, Nanjing, Jiangsu Province, China"}]}],"member":"179","published-online":{"date-parts":[[2015,10,28]]},"reference":[{"issue":"9","key":"e_1_3_1_2_2","first-page":"1896","article-title":"A comparative study of attribute weights assignment for case-based reasoning","volume":"40","author":"Yan A","year":"2014","unstructured":"Yan A, Qian L, Wang P2014A comparative study of attribute weights assignment for case-based reasoningActa Automatica Sinica40918961902","journal-title":"Acta Automatica Sinica"},{"issue":"3","key":"e_1_3_1_3_2","first-page":"131","article-title":"Hybrid similarity measure for retrieval in case-based reasoning system","volume":"22","author":"Zhang B","year":"2002","unstructured":"Zhang B, Yu Y2002Hybrid similarity measure for retrieval in case-based reasoning systemSystems Engineering-Theory & Practice223131136","journal-title":"Systems Engineering-Theory & Practice"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2012.10.005"},{"key":"e_1_3_1_5_2","first-page":"296","article-title":"A new method of discretization of continuous attributes in rough sets","volume":"5","author":"Miao D","year":"2001","unstructured":"Miao D2001A new method of discretization of continuous attributes in rough setsActa Automatica Sinica5296302","journal-title":"Acta Automatica Sinica"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3894(99)00096-5"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(00)00043-7"},{"issue":"5","key":"e_1_3_1_8_2","first-page":"878","article-title":"Freeway incident management system based on case-based reasoning","volume":"38","author":"Yang S","year":"2008","unstructured":"Yang S, Xiong C, Ni F2008Freeway incident management system based on case-based reasoningJournal of Southeast University385878883","journal-title":"Journal of Southeast University"},{"issue":"5","key":"e_1_3_1_9_2","first-page":"98","article-title":"Determination method of character weight based on rough sets theory","volume":"10","author":"Cao X","year":"2002","unstructured":"Cao X, Liang J2002Determination method of character weight based on rough sets theoryChinese Journal of Management Science10598100","journal-title":"Chinese Journal of Management Science"},{"key":"e_1_3_1_10_2","first-page":"1","article-title":"Airport emergency preparednesss management based on case-based reasoning","volume":"28","author":"Lu Z","year":"2010","unstructured":"Lu Z, Hu X, Yang H2010Airport emergency preparednesss management based on case-based reasoningJournal of Civil Aviation University of China2815","journal-title":"Journal of Civil Aviation University of China"},{"issue":"11","key":"e_1_3_1_11_2","first-page":"49","article-title":"Research on CBR decision method of railway emergency rescue based on integral similarity degree","volume":"34","author":"Zhang Z","year":"2012","unstructured":"Zhang Z, Wang X, Dang J, Min Y2012Research on CBR decision method of railway emergency rescue based on integral similarity degreeJournal of the China Railway Society34114953","journal-title":"Journal of the China Railway Society"}],"container-title":["Journal of Intelligent &amp; 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