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A Soft Case-based Reasoning System for Travelling Time Estimation

Authors:
Lixing Wang
Wai-Hung Ip

Keywords: Reasoning; Soft Computing; Fuzzy Logi;, Neural Network; Travelling Time

Abstract:
Soft computing, which includes fuzzy logic, neural network theory, evolutionary computing and probabilistic techniques, is an emerging approach to computing. It resembles biological processes more closely than traditional techniques. Case-based Reasoning (CBR), which normally includes four different phases in the problem-solving cycle, is an effective methodology for solving these kinds of problems. Integration of soft computing techniques into a CBR system can significantly help people to solve problems with more accuracy. This study aims to develop a soft CBR System using fuzzy logic and neural network theory to estimate travelling time of vehicles. A simulated case is also studied to test the performance of the system. The results show that the soft CBR system is able to achieve accurate solutions.

Pages: 69 to 74

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-3735

ISBN: 978-1-61208-154-0

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011