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A Fuzzy Reasoning Model for Action and Change in Timed Domains
Author(s) -
Zhang Youzhi,
Luo Xudong,
Shen Yuping
Publication year - 2013
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21602
Subject(s) - computer science , fuzzy logic , action (physics) , defuzzification , controller (irrigation) , fuzzy control system , fuzzy set operations , artificial intelligence , fuzzy number , fuzzy set , physics , quantum mechanics , agronomy , biology
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.