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Fuzzy logic in spatial modelling

Language EnglishEnglish
Book Paperback
Book Fuzzy logic in spatial modelling Puig Philippe
Libristo code: 09031164
Publishers Scholars' Press, October 2014
Fuzzy logic provides a useful framework for predictive modelling from sparse and uncertain data inhe... Full description
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Fuzzy logic provides a useful framework for predictive modelling from sparse and uncertain data inherent to many environmental studies. Natural Resource Management (NRM) projects, particularly in tropical regions, often rely on low resolution spatial data and scarce information. They offer compelling demonstrations of the contribution of fuzzy logic to improving current practices. The case studies in this book foster a clear understanding of the potential and limitations of fuzzy rule-based modelling. The practical design of membership functions and fuzzy rules is approached from a practitioner s point of view. Both data and knowledge driven models are developed from real data. The performance of the models is assessed by comparing predictions and observations. Datasets are sourced from actual environmental projects and peer reviewed publications. The non statistical predictive modelling framework presented is a pragmatic approach to complex problem solving well suited to environmental science. The target audience includes geologists, ecologists and marine biologists among other environmental and applied scientists.

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About the book

Full name Fuzzy logic in spatial modelling
Author Puig Philippe
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 368
EAN 9783639665604
ISBN 3639665600
Libristo code 09031164
Publishers Scholars' Press
Weight 540
Dimensions 152 x 229 x 21
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