Entropy-based fuzzy set optimisation for reducing ecological model complexity

Proc. iEMSs 4th Biennial Meeting - Int. Congress on Environmental Modelling and Software: Integrating Sciences and Information Technology for Environmental Assessment and Decision Making, iEMSs 2008

Volumn 3, Issue , 2008, Pages 1750-1757

  Mouton, A M ^a   De Baets, B ^a   Peter, A ^b   Holzer, G ^b   Muller R ^b   Goethals, P L M ^a  

^a GHENT UNIVERSITY   (Belgium)

^b SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Data driven; Fuzzy logic; Grayling; Model complexity; Species distribution modelling

Indexed keywords

CLASS BOUNDARY; DATA DRIVEN; DEVELOPED MODEL; ECOLOGICAL MODELS; ENTROPY-BASED; ENTROPY-BASED ALGORITHM; ENVIRONMENTAL CONDITIONS; EXPERT KNOWLEDGE; FUZZY MODELS; GRADIENT THEORY; GRAYLING; HABITAT SUITABILITY MODEL; MODEL COMPLEXITY; MODEL TRANSPARENCY; MONITORING COSTS; OPTIMISATIONS; PREDICTIVE ACCURACY; REDUCED MODEL; SELECTION ALGORITHM; SPECIES DISTRIBUTION MODELLING; SPECIES DISTRIBUTION MODELS; SWITZERLAND; WATER MANAGERS;

ALGORITHMS; DECISION MAKING; ECOLOGY; ENTROPY; FUZZY LOGIC; FUZZY SETS; INFORMATION TECHNOLOGY; KNOWLEDGE ACQUISITION; TRANSPARENCY;

POPULATION DISTRIBUTION;

EID: 84858314549     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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