Application of fuzzy logic to Boolean models for digital soil assessment

Geoderma

Volumn 166, Issue 1, 2011, Pages 15-33

  De Gruijter, J J ^a   Walvoort, D J J ^a   Bragato, G ^b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b CRA RPS   (Italy)

Author keywords

De Morgan's law; Fuzzy connective; Fuzzy sets; Grass farming; Land evaluation; Seed potato

Indexed keywords

DE MORGAN; FUZZY CONNECTIVES; GRASS FARMING; LAND EVALUATION; SEED-POTATO;

AGRONOMY; CLASSIFICATION (OF INFORMATION); FUZZY SETS; GEOLOGIC MODELS; LAND USE; MEMBERSHIP FUNCTIONS; PIECEWISE LINEAR TECHNIQUES; SEED; SOILS;

FUZZY LOGIC;

AGRICULTURAL SOIL; CULTIVAR; DECISION MAKING; DIGITAL MAPPING; FUZZY MATHEMATICS; GRASS; LAND EVALUATION; LAND USE PLANNING; POTATO; SOIL ANALYSIS; SOIL CLASSIFICATION; SOIL MANAGEMENT; SOIL PROPERTY;

ITALY; NETHERLANDS;

SOLANUM TUBEROSUM;

EID: 80053052441     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.06.003     Document Type: Article

References (35)

1. Alsina C., Trillas E., Moraga C. Combining degrees of impairment: the case of the Index of Balthazard. Mathware & Soft Computing 2003, 10:23-41.
2. Bárdossy A., Duckstein L. Fuzzy rule-based modeling with applications to geophysical. Biological and Engineering Systems 1995, CRC Press, Boca Raton, Florida.
3. Braimoh A.K., Vlek P.L.G., Stein A. Land evaluation for maize based on fuzzy set and interpolation. Environmental Management 2004, 33:226-238.
4. Burrough P.A. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 1989, 40:477-492.
5. Burrough P.A., MacMillan R.A., van Deursen W.P.A. Fuzzy classification methods for determining land suitability from soil profile observations and topography. Journal of Soil Science 1992, 43:193-210.
6. Carré F., McBratney A.B., Mayr T., Montanarella L. Digital soil assessments: beyond DSM. Geoderma 2007, 142:69-79.
7. de Gruijter J.J., Walvoort D.J.J., van Gaans P.F.M. Continuous soil maps-a fuzzy set approach to bridge the gap between aggregation levels of process and distribution models. Geoderma 1997, 77:169-195.
8. de Vries F. Karakterisering van nederlandse gronden naar fysisch-chemische kenmerken. Rapport 654, DLO-Staring Centrum, Wageningen 1999.
9. Dobermann A., Oberthür T. Fuzzy mapping of soil fertility-a case study on irrigated riceland in the Philippines. Geoderma 1997, 77:317-339.
10. Dubois D., Prade H. Fuzzy Sets and Systems: Theory and Applications 1980, Academic Press, New York.
11. FAO A framework for land evaluation. Report 32, FAO, Soil Resources, Management and Conservation Service, Land and Water Development Division, Rome 1976.
12. Groenemans R., Van Ranst A., Kerre E. Fuzzy relational calculus in land evaluation. Geoderma 1997, 77:283-298.
13. Hodgson J.M. Soil survey field handbook. Tech. Monogr. 5 1997, Soil Survey and Land research Centre, Silsoe.
14. Jiang, B., 1996. Fuzzy overlay analysis and visualization in geographic information systems. Ph.D. thesis, University of Utrecht.
15. Kandel A. Fuzzy Mathematical Techniques With Applications 1986, Addison-Wesley, Reading, Mass.
16. Kaufmann M., Tobias S., Schulin R. Quality evaluation of restored soils with a fuzzy logic expert system. Geoderma 2009, 151:290-302.
17. Lark R.M., Bolam H.C. Uncertainty in prediction and interpretation of spatially variable data on soils. Geoderma 1997, 77:263-282.
18. Lindskog P. Fuzzy identification from a grey box modeling point of view. Fuzzy Model Identification 1997, Springer, Berlin. H. Hellendoorn, D. Driankov (Eds.).
19. Lulli L., Vecchio G. I suoli della tavoletta "Lago di Cecita" nella Sila Grande in Calabria 2000, Istituto Sperimentale per lo Studio e la Difesa del Suolo, Catanzaro.
20. Mamdani E.H. Advances in the linguistic synthesis of fuzzy controllers. International Journal of Man-Machine Studies 1976, 8:669-678.
21. Manrique L.A., Uehara G. A proposed land suitability classification for potato. I. Methodology Soil Science Social American Journal 1984, 48:843-847.
22. Mays M.D., Bogardi I., Bárdossy A. Fuzzy logic and risk-based soil interpretations. Geoderma 1997, 77:299-315.
23. McNeill D., Freiberger P. Fuzzy Logic-The Discovery of a Revolutionary Computer Technology and How it is Changing Our World 1993, Bookman Press, Melbourne.
24. Russell B. Vagueness. Australian Journal of Psychology and Philosophy 1923, 1:84-92.
25. Soil Survey Staff Keys to Soil Taxonomy 1998, US Department of Agriculture-Soil Conservation Services, Washington, DC. 8th Edition.
26. Sonneveld M.P.W., Hack-ten Broeke M.J.D., van Diepen C.A., Boogaard H.L. Thirty years of systematic land evaluation in the Netherlands. Geoderma 2010, 156:84-92.
27. Takagi T., Sugeno M. Fuzzy identification of systems and its applications in modelling and control. IEEE Transactions on Systems, Man, and Cybernetics 1985, 15:116-132.
28. Tang H.J., Van Ranst E. Testing of fuzzy set theory in land suitability assessment for rainfed grain maize production. Pedologie XLII-2 1992, 129-147.
29. Tang H.J., Debaveye J., Ruan D., Van Ranst E. Land suitability classification based on fuzzy set theory. Pedologie XLI-3 1991, 277-290.
30. ten Cate J.A.M., van Holst A.F., Kleijer H., Stolp J. Handleiding bodemgeografisch onderzoek. richtlijnen en voorschriften. Deel D: Interpretatie van bodemkundige gegevens voor diverse vormen van bodemgebruik. Technisch Document 19D, DLO-Staring Centrum, Wageningen 1995.
31. Van Ranst E., Tang H., Groenemans R., Sinthurahat S. Application of fuzzy logic to land suitability for rubber production in peninsular Thailand. Geoderma 1996, 70:1-19.
32. Walvoort D.J.J., de Gruijter J.J. Compositional kriging: a spatial interpolation method for compositional data. Mathematical Geology 2001, 33:951-966.
33. Zadeh L.A. Fuzzy sets. Information and Control 1965, 8:338-353.
34. Zimmermann H.J. Fuzzy Set Theory and its Applications 1996, Kluwer, Boston. 3rd Edition.
35. Zorluer I., Icaga Y., Yurtcu S., Tosun H. Application of a fuzzy rule-based method for the determination of clay dispersibility. Geoderma 2010, 160:189-196.