The route choice problem based on interval type-2 fuzzy logic inference

Yunrui Bi, Xiaobo Lu, Zhe Sun
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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.
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基于区间2型模糊逻辑推理的路径选择问题
驾驶员路径选择问题是解决交通拥堵问题的先进出行者信息系统(ATIS)的重要组成部分。本文讨论了路径选择问题,并引入了区间2型模糊逻辑理论。提出了一种基于区间2型模糊逻辑系统(it2fls)的路径选择方法。该方法可以更有效地处理动态选择过程中的不精确性、不确定性和模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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