A GIS methodological framework based on fuzzy sets theory for land use management

Journal of the Brazilian Computer Society

Volumn 6, Issue 3, 2000, Pages 26-32

  Kurtener, Dmitry ^a   Badenko, Vladimir ^b  

^a AGROPHYSICAL RESEARCH INSTITUTE   (Russian Federation)

^b PETER THE GREAT ST PETERSBURG POLYTECHNIC UNIVERSITY   (Russian Federation)

Author keywords

Fuzzy sets theory; Geoinformation systems; GIS knowledge management; Land use prediction models

Indexed keywords

EID: 52849113012     PISSN: 01046500     EISSN: 01046500     Source Type: Journal    
DOI: 10.1590/S0104-65002000000100004     Document Type: Article

References (16)

1. M. Abbott. Introducing hydroinformatics. Journal of Hydroinformatic.s 1(1):3-20, 1999.
2. I. Bogardi, A. Bardossy, M.D. Mays, L. Duckstein. Risk Assessment and Fuzzy Logic as Ralated to Environment. Data Reliability and Risk Assessment in Soil Interpretation. SSSA Special Publication. 47:81-97, 1996.
3. A.N. Borisov,. O.A. Krumberg, I.P. Federov. Decision-making on the base of fuzzy models. Zinatre Publ. Riga. 1990.
4. A. Kaufmann, M. Gupta Fuzzy mathematical models in engineering and management science. Amsterdam. Elsevier Science, 1988.
5. D. Kurtener, V. Badenko.. Questions of integration of some ecological models into geoinformation system. In Proceeding of 21st Urban Data Management Symposium. CD-ROM, Theme V, 1999.
6. st Century. 1:29-53. 1998
7. D.A. Kurtener, V.L. Badenko. Use of geographical information systems (GIS) in agrophysics. In Proceeding on Flow and deformation in biology and environment. Prague, pages 34-39, 1998
8. D. Kurtener and V. Badenko. Questions of integration of some ecological models into geoinformation system. In Proceedings of UDMS'99 on Information technology in the service of local government planing and management. Venice, Italy, pages 21-23, 1999.
9. Dmitry Kurtener, Viktor Yakushev, Vladimir Badenko, Elaheh Pourabbas. Development of methodology of multiple assessment of landscape parcels on the base fuzzy models integrated into GIS environment. R. 1, St. Petersburg, Russia, 23p. 1999.
10. V.P. Yakishev, D.A.. Kurtener, N.V. Arefiev, V.L. Badenko, N.M. Khimin, T.I. Prokof'eva and L.K. Shvetsova. Use of geographical information systems (GIS) in agrophysics. Russian Agricultural Science. 2:52-54. 1999.
11. L.A. Zadeh. Fuzzy sets. Inform. Control. 8(3):338-353, 1965
12. H.J. Zimmerman. Fuzzy set theory and its application. MA, 1985
13. X.Y. Chen. A multivatiable analysis of grid data as a soil classification and mapping tool: a case study of a homogeneous plain in Vagia, Viotia, Greece. Geoderma. 77(1):63-81, 1997.
14. Alex McBratney, Inakwu, O.A. Odeh. The application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma. 77(2-4):85-113. 1997.
15. R.M. Lark, H.C. Bolam. An uncertainty in the prediction and interpretation of spatially variable data on soils. Geoderma. 77(2-4):263-282, 1997.
16. P. Lagacherie, D.R. Cazemier, P.F.M. van Gaans, P.A. Burrough. Fuzzy k-means clustering of fields in an elementary cathment and extrapolation to a larger area. Geoderma. 77(2-4):197-210, 1997