M. Anile, B. Falciniedo, G. Gallom, M. Spagnuolo, and S. Spinello, Modeling uncertain data with fuzzy b-splines, Fuzzy sets and systems, pp.397-410, 2000.

M. Anile, P. Furno, G. Gallo, and A. Massolo, A fuzzy approach to visibility maps creation over digital terrains, Fuzzy Sets and Systems, vol.135, issue.1, pp.63-80, 2003.
DOI : 10.1016/S0165-0114(02)00250-6

H. Auernhammer, Introduction, Computers and Electronics in Agriculture, vol.11, issue.1, pp.1-95, 1994.
DOI : 10.1016/0168-1699(94)90048-5

H. Bandemer and A. Gebhardt, Bayesian fuzzy kriging, Fuzzy Sets and Systems, pp.405-418, 2000.

A. Bardossy, I. Bogardi, and W. E. Kelly, Imprecise (fuzzy) information in geostatistics, Mathematical Geology, vol.1, issue.3, pp.287-311, 1988.
DOI : 10.1007/BF00892981

A. Bardossy, I. Bogardi, and W. E. Kelly, Kriging with imprecise (fuzzy) variograms. II: Application, Mathematical Geology, vol.29, issue.1, pp.63-79, 1990.
DOI : 10.1007/BF00890298

S. Benferhat, D. Dubois, S. Kaci, and H. Prade, Bipolar possibility theory in preference modeling: Representation, fusion and optimal solutions, Information Fusion, vol.7, issue.1, pp.135-150, 2006.
DOI : 10.1016/j.inffus.2005.04.001

URL : https://hal.archives-ouvertes.fr/hal-00022664

A. Bourely, Pellenc: la viticulture de précision, pp.386-392, 1999.

R. Bramley, A protocol for winegrape yield maps, Proc. Third European Conf. on Precision Agriculture, pp.173-767, 2001.

R. Bramley and D. Lamb, Making sense of vineyard variability in Australia, Proc. Internat. Symp. on Precision Viticulture, Ninth Latin American Congr. on Viticulture and Oenology, pp.35-54, 2003.

P. Burrough, Natural objects with indeterminate boundaries, Geographic Objects with Indeterminate Boundaries, GISDATA, pp.3-28, 1996.

D. Cazemier, P. Lagacherie, and R. Martin-clouaire, A possibility theory approach for estimating available water capacity from imprecise information contained in soil databases, Geoderma, vol.103, issue.1-2, pp.1-2, 2001.
DOI : 10.1016/S0016-7061(01)00072-6

G. Choquet, Theory of capacities, Annales de l???institut Fourier, vol.5, pp.131-295, 1953.
DOI : 10.5802/aif.53

D. L. Corwin, S. R. Kaffka, J. W. Hopmans, Y. Mori, J. W. Van-groenigen et al., Assessment and field-scale mapping of soil quality properties of a saline-sodic soil, Geoderma, vol.114, issue.3-4, pp.3-4, 2003.
DOI : 10.1016/S0016-7061(03)00043-0

P. Diamond, Fuzzy kriging, Fuzzy Sets and Systems, pp.315-332, 1989.

T. Doerge, Defining management zones for precision farming, 1998.

S. Dragi´cevi´cdragi´cevi´dragi´cevi´c, Multi-dimensional interpolations with fuzzy sets Fuzzy Modeling with Spatial Information for Geographic Problems, pp.143-158, 2005.

S. Dragi´cevi´cdragi´cevi´dragi´cevi´c and D. Marceau, An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes, Fuzzy Sets and Systems, vol.113, issue.1, pp.69-80, 2000.
DOI : 10.1016/S0165-0114(99)00013-5

D. Dubois, Possibility theory and statistical reasoning, Computational Statistics & Data Analysis, vol.51, issue.1, pp.47-69, 2006.
DOI : 10.1016/j.csda.2006.04.015

D. Dubois and H. Prade, ON FUZZY INTERPOLATION*, Proc. Third Conf. on Fuzzy Logic, Neural Networks and Soft Computing, Japan, 1994.
DOI : 10.1016/S0019-9958(65)90241-X

T. Ebertseder, R. Gutser, U. Hege, R. Brandhuber, and U. Schmidhalter, Strategies for site-specific nitrogen fertilization with respect to long-term environmental demands, Proc. Fourth European Conf. on Precision Agriculture, pp.193-198, 2003.

M. Ehrl, W. Stempfhuber, H. Auernhammer, and M. , Quality assessment of agricultural positioning and communication system, Proc. Fourth European Conf. on Precision Agriculture, pp.205-210, 2003.

M. Grabisch, T. Murofushi, and M. Sugeno, Fuzzy Measures and Integrals?Theory and Applications, Studies in Fuzziness and Soft Computing, 2000.

G. Grenzdörffer, Requirements and possibilities of remote sensing for precision agriculture?current status and future developments, Proc. Third European Conf. on Precision Agriculture, pp.211-216, 2001.

G. Grenzdörffer, Investigations on the use of airborne remote sensing for variable rate treatments of fungicides, growth regulators and n-fertilisation, Proc. Fourth European Conf. on Precision Agriculture, pp.241-246, 2003.

R. Kerry and M. Oliver, Comparing spatial structures in soil properties and ancillary data by using variograms, Proc. Third European Conf. on Precision Agriculture, pp.413-418, 2001.

R. Kerry and M. Oliver, Maximum likelihood variograms for efficient prediction in precision agriculture, Proc. Fifth European Conf. on Precision Agriculture, pp.707-714, 2005.

C. Kvien and S. Pocknee, Introduction to why management zones, 2000.

P. Lagacherie, D. Cazemier, R. Martin-clouaire, and T. Wassenaar, A spatial approach using imprecise soil data for modelling crop yields over vast areas, Agriculture, Ecosystems & Environment, vol.81, issue.1, p.81, 2000.
DOI : 10.1016/S0167-8809(00)00164-X

W. Lodwick and J. Santos, Constructing consistent fuzzy surfaces from fuzzy data, Fuzzy Sets and Systems, pp.259-277, 2003.

J. Marichal, Aggregation operators for multicriteria decision aid, Faculté des sciences, 1999.

R. Martin-clouaire, D. Cazemier, and P. Lagacherie, Representing and processing uncertain soil information for mapping soil hydrological properties, Computers and Electronics in Agriculture, vol.29, issue.1-2, pp.1-2, 2000.
DOI : 10.1016/S0168-1699(00)00135-6

G. Matheron, The theory of regionalized variables and its applications, Les cahiers du Centre de Morphologie, 1970.

B. Minasny, A. Mcbratney, and B. Whelan, Vesper version 1.6. (Variogram Estimation and Spatial Prediction plus ERror)?Australian Centre of Precision Agriculture, The University of Sydney http, 2002.

M. Molenaar and T. Cheng, Fuzzy spatial objects and their dynamics, ISPRS Journal of Photogrammetry and Remote Sensing, vol.55, issue.3, pp.64-175, 2000.
DOI : 10.1016/S0924-2716(00)00017-4

T. Murofushi and M. Sugeno, An interpretation of fuzzy measures and the Choquet integral as an integral with respect to a fuzzy measure, Fuzzy Sets and Systems, vol.29, issue.2, pp.201-227, 1989.
DOI : 10.1016/0165-0114(89)90194-2

T. Murofushi and M. Sugeno, Some quantities represented by the Choquet integral, Fuzzy Sets and Systems, pp.229-235, 1993.

R. Ortega, A. Esser, and O. Santibaez, Spatial variability of wine grape yield and quality in chilean vineyards: economic and environmental impacts, Proc. Fourth European Conf. on Precision Agriculture, pp.499-506, 2003.

J. A. Piotrowski, F. Bartels, A. Skalski, and G. Schmidt, Geostatistical regionalization of glacial aquitard thickness in northwestern Germany, based on fuzzy kriging, Mathematical Geology, vol.8, issue.no. 3, pp.437-452, 1996.
DOI : 10.1007/BF02083655

M. Schneider, Uncertainty management for spatial data in databases: fuzzy spatial data types, Sixth Internat. Symp. on Advances in Spatial Databases (SSD), pp.330-351, 1999.

M. Sugeno, Theory of fuzzy integrals and its applications, 1974.

J. Taylor, Digital terroirs and precision viticulture: investigations into the application of information technologies in Australian vineyards, 2004.

J. Taylor, B. Tisseyre, R. Bramley, and A. Resid, A comparison of the spatial variability of vineyard yield in European and Australian production systems, Proc. Fifth European Conf. on Precision Agriculture, 2005.

B. Tisseyre, C. Mazzoni, N. Ardoin, and C. Clipet, Yield and harvest quality measurement in precision viticulture?application for a selective vintage, Proc. Third European Conf. on Precision Agriculture, pp.133-138, 2001.

R. R. Yager, MEASURING TRANQUILITY AND ANXIETY IN DECISION MAKING: AN APPLICATION OF FUZZY SETS, International Journal of General Systems, vol.7, issue.3, pp.139-146, 1982.
DOI : 10.1080/03081078208547443

L. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

L. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, vol.1, issue.1, pp.3-28, 1978.
DOI : 10.1016/0165-0114(78)90029-5

L. Zadeh, Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems, pp.111-127, 1997.

A. Zhu, Measuring uncertainty in class assignment for natural resource maps under fuzzy logic, Photogrammetric Engng, Remote Sensing, vol.63, pp.1195-1202, 1997.

A. Zhu, A similarity model for representing soil spatial information, Geoderma, vol.77, issue.2-4, pp.217-242, 1997.
DOI : 10.1016/S0016-7061(97)00023-2

A. Zhu, B. Hudson, J. Burt, K. Lubich, and D. Simonson, Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic, Soil Science Society of America Journal, vol.65, issue.5, pp.65-1463, 2001.
DOI : 10.2136/sssaj2001.6551463x

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.7623