The fuzzy logic controller as an incorporated Principle in thinning model
1995
Kahn, M. (Muenchen Ludwig-Maximilians Univ., Freising (Germany))
The most central module of this thinning model is a fuzzy logic controller which consists of a simple rule base with no more than seven rules. The only input variables are a relative tree diameter and a distance dependent competition index, the output variable prepares the thinning decision of a single tree. The rule base is designed using formally defined thinning instructions, empirical data from experimental plots and simulation results. The evaluation of the rule base is maintained by applying the max-prod-inference, the defuzzyfication of the resulting thinning decision follows the center of gravity method. The thinning model is validated using independent data from experimental plots. The simulation results give evidence of good estimations that can be achieved using the model to predict the diameter distribution of the thinned trees in comparison with thinning practice on experimental plots. The fuzzy logic controller shows its computational efficiency and promises flexibility to serve as a mechanism which is suitable to model imprecise human decision making in illstructured situations as can be observed in thinning practice.
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