Formalisation of ecohydrological expert knowledge applying fuzzy techniques

Ecological Modelling

Volumn 85, Issue 1, 1996, Pages 75-81

  Droesen, Wim J ^a,b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b Amsterdamse Waterleidingduinen   (Netherlands)

Author keywords

Expert models; Fuzzy logic; Hydrology; Transformation

Indexed keywords

EID: 0002564343     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/0304-3800(95)00013-5     Document Type: Article

References (7)

1. Bosserman, R.W. and Ragade, R.K., 1982. Ecosystem analysis using fuzzy set theory. Ecol. Model., 16: 191-208.
2. Klir, G.J. and Folger, T.A., 1988. Fuzzy Sets, Uncertainty, and Information. Prentice-Hall, London.
3. Koerselman, W., Doing, H., Geelen, L.H.W.T., Leltz, G.M. and Nijssen, E.M., 1992. Nutrient availability of dune slacks in relationship to environmental conditions and external inputs. KIWA, Nieuwegein (in Dutch).
4. Kollias, V.J. and Voliotis, A., 1991. Fuzzy reasoning in the development of geographical information systems. FRSIS: a prototype soil information system with fuzzy retrieval capabilities. Int. J. Geogr. Inform. Syst., 5: 209-223.
5. Molenaar, M. and Janssen, L.L.F., 1991. Integrated processing of remotely sensed and geographic data for land inventory purposes. ASPRS/NCGIA Symposium on Integration of Remote Sensing and Geographical Information Systems, Baltimore, USA.
6. Salski, A., 1992. Fuzzy knowledge-based models in ecological research. Ecol. Model., 63: 103-112.
7. Zimmermann, H.J., 1985. Fuzzy Set Theory - And its Applications. Kluwer-Nijhoff Publishers, Dordrecht.