Title: Linking and implementation of fuzzy logic control to ordinate plant strategies

Authors: James Nicholas Furze; Quan Min Zhu; Feng Qiao; Jennifer Hill

Addresses: Department of Engineering, Design and Mathematics, Department of Geography and Environmental Management, Faculty of Environment and Technology, University of the West of England, Frenchay Campus, Bristol, BS16 1QY, UK ' Department of Engineering, Design and Mathematics, Faculty of Environment and Technology, University of the West of England, Frenchay Campus, Bristol, BS16 1QY, UK ' Faculty of Information and Control Engineering, Shenyang JianZhu University, 9 Hunnan East Road, Hunnan New District, Shenyang, 110168, China ' Department of Geography and Environmental Management, Faculty of Environment and Technology, University of the West of England, Frenchay Campus, Bristol, BS16 1QY, UK

Abstract: Fuzzy control algorithms are used to give structure to the spatial categorisation of plant species by integrating digital elevation model data at increased resolution with data of selected climatic variables (mean precipitation, temperature, ground frost frequency and elevation). In previous studies, the climatic variables are obtained by minimising them to those essential for expression of the water-energy dynamic (the way in which water and energy are distributed in relation to diversity) in order to model life-history strategies of plant species. In this paper, Takagi-Sugeno-Kang fuzzy modelling is applied to infer which factors of the water energy dynamic may be used for efficient prediction of plant strategies. Implications of this paper include modelling of plant life-forms and metabolic patterning.

Keywords: fuzzy control; fuzzy logic; categorisation; climatic variables; water-energy dynamics; plant strategies; plant species; mean precipitation; temperature; ground frost; fuzzy modelling; metabolic patterning.

DOI: 10.1504/IJMIC.2013.055651

International Journal of Modelling, Identification and Control, 2013 Vol.19 No.4, pp.333 - 342

Available online: 28 Jul 2013 *

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