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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1
Fuzzy reasoning for modeling and simulation of the plant growth
Jinan, China
October 16-October 18
ISBN: 0-7695-2528-8
Fang Xu, Zhejiang University of Technology, China
Jiaoliao Chen, Zhejiang University of Technology, China
Libin Zhang, Zhejiang University of Technology, China
Tinghua Gu, Zhejiang University of Technology, China
The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and simulation of the plant growth. Because it is difficult to build up the production rules, a new construction method of L-system was proposed, which applied fuzzy reasoning to build up the production rules based on language description of plant growth. This method built up related fuzzy sets, and then constructed the L-System production rules by fuzzy reasoning. The rewriting of module string and construction method of production rules was also introduced. Combined with co2 concentration in the plant growth circumstance, the process of plant growth was simulated. The simulation result is agree well with a general rule of the plant growth, which shows that the method of L-system base on multi-dimensional fuzzy reasoning can simulate the process of plant growth in a given circumstance without the difficulties brought by parameter setting in mechanistic model .
Citation:
Fang Xu, Jiaoliao Chen, Libin Zhang, Tinghua Gu, "Fuzzy reasoning for modeling and simulation of the plant growth," isda, vol. 1, pp.234-249, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006
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