Evaluation of Ecological Conditions Using Bioindicators: Application of Fuzzy Modeling

Authors:
Michael Arkhipov;Elena Krueger;Dmitry Kurtener
Affiliations:
Northwestern Scientific-Methodological Center of Russian Academy of Agricultural, Sciences, Pushkin-St. Petersburg, Russia 196608;Independent researcher, Westminster, USA CO 80031;Agrophysical Research Institute, St. Petersburg, Russia 195220
Venue:
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Year:
2008

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Abstract

Exploring biological indicators as tool for evaluation of ecological conditions is one of prime interest for planning process. The focus of this paper is biological indicator based on seed characteristics and defined with the use of fuzzy sets methodology. It is considered application of fuzzy biological indicators in combination with the minimum average weighted deviation method. Finally, Adaptive Neuro-Fuzzy Inference System is utilized for categorization of biological indicators.