Title :
Method of Event Detection Based on Dynamic Hybrid Fuzzy Logic System
Author :
Wei, Chen ; Qin, Li ; Tingjin, Lu ; Penghui, Rong ; Yanqing, Zhao
Author_Institution :
Eng. Coll., Air Force Eng. Univ., Xian, China
Abstract :
Event detection has become an important research issue in the decision making process of dynamic systems where one should be able to comprehend the situation in order to make an appropriate decision for future development. And machine intelligence is required to provide a solution for automated event detection. In this paper we propose a hybrid fuzzy logic system that has been used for detecting event, the fuzzy event detector is a linguistic model, which synthesizes complex relations between process variables and process events incorporating experts´ knowledge about the process operation. This kind of detection allows the anticipation of appropriate control actions, which depend upon the selected membership functions used to characterize the process under scrutiny. Simulation experiment shows the feasibility and validity of the proposed method.
Keywords :
artificial intelligence; decision making; discrete event systems; expert systems; fuzzy logic; fuzzy set theory; surveillance; time-varying systems; automated event detection; decision making process; dynamic hybrid fuzzy logic system; dynamic systems; expert knowledge; linguistic model; machine intelligence; surveillance system; Control system synthesis; Detectors; Educational institutions; Event detection; Fuzzy control; Fuzzy logic; Fuzzy systems; Knowledge engineering; Military computing; Surveillance; dynamichybrid system; event detection; fuzzy logic;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.57