A Fuzzy Reasoning Model for Action and Change in Timed Domains
Article first published online: 8 MAY 2013
© 2013 Wiley Periodicals, Inc.
International Journal of Intelligent Systems
Volume 28, Issue 8, pages 787–805, August 2013
How to Cite
Zhang, Y., Luo, X. and Shen, Y. (2013), A Fuzzy Reasoning Model for Action and Change in Timed Domains. Int. J. Intell. Syst., 28: 787–805. doi: 10.1002/int.21602
- Issue published online: 17 JUN 2013
- Article first published online: 8 MAY 2013
- Bairen plan of Sun Yat-sen University, People's Republic of China
- National Natural Science Foundation of China, People's Republic of China. Grant Number: 61173019
- major projects of the Ministry of Education, People's Republic of China. Grant Number: 10JZD0006
- Young Scholar Research Projects of Guangdong Province, People's Republic of China. Grant Numbers: GD10YZX03, WYM10114
This paper proposes a fuzzy approach for reasoning about action and change in timed domains. In our method, actions and world states are modeled as fuzzy sets over time axis. Thus, their temporal relations and time constraints can be modeled as fuzzy rules. So, our method handles well the issue that action happens at an approximate time and then the states also change at an approximate time, which has not been solved well in the existing work. Finally, our method is used to solve the classic problem of rail-road crossing control in a fuzzy environment. The theoretical and simulation analysis shows that the controller using our method works well.