The hydrological sciences typically present grey or fuzzy
information, making them quite messy and a choice challenge for
fuzzy logic application. Providing readers with the first book to
cover fuzzy logic modeling as it relates to water science, the
author takes an approach that incorporates verbal expert views and
other parameters that allow him to eschew the use of mathematics.
The booka (TM)s first seven chapters expose the fuzzy logic
principles, processes and design for a fruitful inference system
with many hydrological examples. The last two chapters present the
use of those principles in larger scale hydrological scales within
the hydrological cycle.
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