Fuzzy logic approach to data analysis and ecological modelling
نویسنده
چکیده
The paper focuses on two large application areas of the Fuzzy Set Theory in ecological research, namely data analysis (in particular fuzzy cluster analysis and fuzzy kriging) and ecological modelling. Environmental data or classes of ecological objects can be defined as fuzzy sets with not sharply defined boundaries, that reflects better the continuous character of nature. Fuzzy sets are used to handle uncertainty of data environmental data and fuzzy logic to handle inexact reasoning in knowledge-based modells of ecological processes. Some application examples of data analysis (fuzzy classification and fuzzy regionalization) and knowledge-based modelling are presented.
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