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Effect of model formulation on the optimization of a genetic Takagi-Sugeno fuzzy system for fish habitat suitability evaluation
Authors:Shinji Fukuda  Bernard De BaetsAns M. Mouton  Willem WaegemanJun Nakajima  Takahiko MukaiKazuaki Hiramatsu  Norio Onikura
Affiliation:a Institute of Tropical Agriculture, Kyushu University, 6-10-1 Hakozaki, Fukuoka 812-8581, Japan
b KERMIT, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, Ghent 9000, Belgium
c Research Institute for Nature and Forest (INBO), Kliniekstraat 25, 1070 Brussels, Belgium
d Fukuoka Institute of Health and Environmental Sciences, 39 Mukaizano, Dazaifu, Fukuoka 818-0135, Japan
e Faculty of Regional Studies, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan
f Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Fukuoka 812-8581, Japan
g Fishery Research Laboratory, Kyushu University, 2506 Tsuyazaki, Fukutsu, Fukuoka 811-3304, Japan
Abstract:
Keywords:SDMs, species distribution models   GLMs, generalized linear models   GAMs, generalized additive models   ANNs, artificial neural networks   MAXENT, maximum entropy   SVMs, support vector machines   GAs, genetic algorithms   GARP, genetic algorithm for rule-set production   HSI, habitat suitability index   HSC, habitat suitability curve   FHPM, fuzzy habitat preference model   MSE, mean squared error   GPS, global positioning system   DEM, digital elevation model   CV, cross validation   AUC, area under the receiver operating characteristics curve   ROC, receiver operating characteristics   MDT, minimization of the absolute sensitivity-specificity difference threshold   MST, maximization of the sensitivity-specificity sum threshold   TPR, true positive rate   TNR, true negative rate   TP, true positive   TN, true negative   FP, false positive   FN, false negative   CCI, correctly classified instances   TSS, true skill statistic
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