{"title":"基于区间2型模糊逻辑推理的路径选择问题","authors":"Yunrui Bi, Xiaobo Lu, Zhe Sun","doi":"10.1109/FSKD.2012.6233781","DOIUrl":null,"url":null,"abstract":"Drivers' route choice problem is important to Advanced Traveler Information Systems (ATIS) whose purpose is to solve the traffic congestion problem. In this paper, we discuss the route choice problem and introduce Interval Type-2 Fuzzy Logic Theory. And a method based on the Interval Type-2 Fuzzy Logic Systems (IT2FLSs) is proposed to deal with the route choice problem. This method can handle the imprecision, uncertainties and vagueness lying in the dynamic choice process more efficiently.","PeriodicalId":337941,"journal":{"name":"International Conference on Fuzzy Systems and Knowledge Discovery","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The route choice problem based on interval type-2 fuzzy logic inference\",\"authors\":\"Yunrui Bi, Xiaobo Lu, Zhe Sun\",\"doi\":\"10.1109/FSKD.2012.6233781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Drivers' route choice problem is important to Advanced Traveler Information Systems (ATIS) whose purpose is to solve the traffic congestion problem. In this paper, we discuss the route choice problem and introduce Interval Type-2 Fuzzy Logic Theory. And a method based on the Interval Type-2 Fuzzy Logic Systems (IT2FLSs) is proposed to deal with the route choice problem. This method can handle the imprecision, uncertainties and vagueness lying in the dynamic choice process more efficiently.\",\"PeriodicalId\":337941,\"journal\":{\"name\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2012.6233781\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2012.6233781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The route choice problem based on interval type-2 fuzzy logic inference
Drivers' route choice problem is important to Advanced Traveler Information Systems (ATIS) whose purpose is to solve the traffic congestion problem. In this paper, we discuss the route choice problem and introduce Interval Type-2 Fuzzy Logic Theory. And a method based on the Interval Type-2 Fuzzy Logic Systems (IT2FLSs) is proposed to deal with the route choice problem. This method can handle the imprecision, uncertainties and vagueness lying in the dynamic choice process more efficiently.
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