Linking and implementation of fuzzy logic control to ordinate plant strategies
by James Nicholas Furze; Quan Min Zhu; Feng Qiao; Jennifer Hill
International Journal of Modelling, Identification and Control (IJMIC), Vol. 19, No. 4, 2013

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.

Online publication date: Sat, 27-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com