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Evaluation of Ecological Conditions Using Bioindicators: Application of Fuzzy Modeling
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Evaluation of Ecological Conditions Using Bioindicators: Application of Fuzzy Modeling
Michael Arkhipov1 , Elena Krueger2 and Dmitry Kurtener3 
| (1) |
Northwestern Scientific-Methodological Center of Russian Academy of Agricultural, Sciences, 7 Podbel’skogo highway, Pushkin-St. Petersburg, 196608, Russia |
| (2) |
Independent researcher, 11706 Perry St., Westminster, CO 80031, USA |
| (3) |
Agrophysical Research Institute, Grazhdansky pr. 14, St. Petersburg, 195220, Russia |
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.
Keywords environmental evaluation - fuzzy set methodology - biological indicators
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