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Published in:
2006 | OriginalPaper | Chapter
Ecological Applications of Fuzzy Logic
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Heterogeneous and imprecise ecological data and vague expert knowledge can be integrated more effectively using fuzzy approach. Fuzzy logic provides the means to combine numerical data and linguistic statements and to process both of them in one simulation step. Fuzzy sets with no sharply defined boundaries reflect better the continuous character of nature. The number of applications of fuzzy sets and fuzzy logic in ecological modelling and data analysis is constantly growing.
There also are an increasing number of applications of hybrid systems which combine the fuzzy techniques with other techniques, e.g. probabilistic approach, linear programming, neural networks, cellular automata or GIS technique. An increasing interest in the development of fuzzy expert systems for environmental management and engineering can also be expected.