A perspective on geographic information systems and fuzzy sets

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 2002-January, Issue , 2002, Pages 1-6

  Robinson, V B ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Atmosphere; Computers; Costs; Frequency; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Geographic Information Systems; Geography; Management information systems

Indexed keywords

COMPUTERS; COST EFFECTIVENESS; COSTS; EARTH ATMOSPHERE; ELECTROPLATING SHOPS; FUZZY LOGIC; FUZZY SETS; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION MANAGEMENT; INFORMATION SCIENCE; MANAGEMENT INFORMATION SYSTEMS; PROBLEM SOLVING;

COST-EFFECTIVE APPROACH; FREQUENCY; FUZZY DATABASE; FUZZY LOGIC BASED APPROACH; GEOGRAPHICAL INFORMATION; GEOGRAPHY; GIS APPLICATION; PROBLEM-SOLVING ABILITIES;

FUZZY SET THEORY;

EID: 0013403267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2002.1018020     Document Type: Conference Paper

References (56)

1. D. Altman, "Fuzzy set theoretic approaches for handling imprecision in spatial analysis," Internat. Jurnl of Geog. Info. Sci, vol. 8, 1994, pp. 271-289.
2. L.G. Arvanitis, B. Ramachandran, D.P. Brackett, H. Abd-El Rasol, and X.S. Xu, "Multiresource inventories incorporating GIS, GPS and database management systems: a conceptual model," Computers and Electronics in Agriculture, Vol. 28, August 2000, pp 89-100.
3. J.C. Bezdek, R. Ehrlich, and W. Full, FCM: the fuzzy c-means clustering algorithm, Computers and Geosciences, vol. 10,1984, pp. 191-203.
4. P. Bose and O. Pivert, "At the crossroads of database systems and fuzzy sets," Proceedings of NAFIPS 2001, IEEE, Washington, D.C., pp. 2114-2119.
5. P.A. Burrough, P.F.M. van Gaans and R.A. MacMillan, "High-resolution landform classification using fuzzy k-means," Intern. Jrnl. of Fuzzy Sets and Systems, vol. 113(1), 2000, pp. 37-52.
6. P.A. Burrough and A.U. Frank, Geographic Objects with Indeterminate Boundaries, Taylor & Francis, London, 1996.
7. G.A. Carpenter, M.N. Gjaja, S. Gopal, and C.E. Woodcock, "ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data," IEEE Trans. on Geoscience and Remote Sensing, vol. 35(2), 1997, pp. 308-325.
8. T. Cheng, M. Molenaar, and H. Lin, "Formalizing fuzzy objects from uncertain classification results," Internat. Jurnl of Geog. Info. Sci, vol. 15(1), 2001, pp. 27-42.
9. E. Clementini, and P. Di Felice, 1996, "An algebraic model for spatial objects with indeterminate boundaries," Geographic Objects with Indeterminate Boundaries (P. A. Burrough and A. U. Frank, editors),Taylor & Francis, London, 1996, pp. 155-170.
10. M. Cobb, H. Foley, F. Petry, and K. Shaw, "Uncertainty in distributed and interoperable spatial information systems," Recent Issues on Fuzzy Databases (G. Bordogna and G. Pasi editors), Physica-Verlag Heidelberg, Germany, 2000, 85-108.
11. M. Cobb and F. Petry, "Modeling Spatial Relationships within a fuzzy framework," Jrnl. Am. Soc. for Info. Sci., vol. 49(3), 1998, pp. 253-266.
12. S. Corne, T. Murray, S. Openshaw, L. See, and I. Turton, "Using computational intelligence techniques to model subglacial water systems," Jrnl. Geograph. Syst., vol. 1, pp. 37-60.
13. V. Cross, and A. Firat, Fuzzy objects for geographical information systems, Intern. Jrnl. of Fuzzy Sets and Systems, vol. 113(1), 2000, pp. 19-36.
14. S. De Bruin,"Querying probabilistic land cover data using fuzzy set theory," Internat. Jurnl of Geog. Info. Sci, vol. 14(4), 2000, pp. 359-372.
15. A. De Genst, F. Canters, and H. Gulink, "Uncertainty modeling in buffer operations applied to connectivity analysis," Transactions in GIS, vol. 5(4), 2001, pp. 305-326.
16. M. DeMers, Fundamentals of Geographic Information Systems, John Wiley & Sons, New York, 1997, 486p.
17. P.F. Fisher and S. Pathirana, "The evaluation of fuzzy membership of land cover classes in the suburban zone," Remote Sensing Environ., vol. 34, 1994, pp. 121-132.
18. G.M. Foody and D.S. Boyd, Fuzzy mapping of tropical land cover along an environmental gradient from remotely sensed data with an artificial neural network, Jrnl of Geographical Systems, vol. 1, 1999, pp. 23-35.
19. th Intern. Fuzzy Systems Association World Congress, Prague, 1997, pp. 193-197.
20. S. Gale, Inexactness, fuzzy sets, and the foundations of behavioral geography, Geographical Analysis, vol. 4, 1972, pp. 337-349.
21. P. A. Graniero and V.B. Robinson "Investigating the role fuzzy sets in a spatial modeling framework," Proceedings NAFIPS 2001, IEEE, Washington,D.C., pp. 2370-2375.
22. P. A. Graniero and V.B. Robinson "A real-time adaptive sampling method for field mapping in patchy, heterogeneous environments," Transactions in GIS, forthcoming.
23. S. Gopal and C. Woodcock, "Theory and methods for accuracy assessment of thematic maps using fuzzy sets," Photogrammetric Engineering and Remote Sensing, vol. 63(6), 1994, pp. 181-188.
24. T. Hadzilacos and N. Tryfona, "Logical data modelling for geographical applications," Internat. Jurnl of Geog. Info. Sci, vol. 10, 1996, pp. 179-203.
25. L.O. Hall and R.J. Hathaway, "Fuzzy Systems Toolbox and Fuzzy Logic Toolbox-Software Review," IEEE Transactions on Fuzzy Systems, vol. 4(1), 1996, pp. 82-85.
26. G.B.M. Heuvelink and P.A. Burrough, "Error propagation in logical cartographic modelling using Boolean methods and continuous classification," Internat. Jurnl of Geog.Info. Sci, vol. 7, 1993, pp. 321-246.
27. Y. Leung, "Locational choice: a fuzzy set approach," Geography Bulletin, vol.15, 1979, pp. 28-34.
28. D.S. Mackay and V.B. Robinson, "A multiple criteria decision support system for testing integrated environmental models," Fuzzy Sets and Systems, vol. 113, 2000, pp. 53-67.
29. A.B. McBratney and I.O.A. Odeh, "Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements, and fuzzy decision, Geoderma, vol. 77, 1997, pp. 85-113.
30. A. Morris, and F. Petry, "Design of fuzzy querying in object-oriented spatial data and geographical information systems," Proceedings NAFIPS '98, Pensacola Beach, Forida, 1998, pp. 211-215.
31. T. Oberthur, A. Dobermann, and M. Aylward, "Using auxiliary information to adjust fuzzy membership functions for improved mapping of soil qualities," Internat. Jurnl of Geog.Info. Sci, vol. 14, 2000, pp. 431-454.
32. I.O.A. Odeh, A.B McBratney and D.J. Chittleborough,"Design of optimal sample spacings for mapping soil using fuzzy k-means and regionalized variable theory," Geoderma, vol. 47, 1990, pp. 93-112.
33. H.M. Palanciogla and K. Beard, "Modeling moving objects and their movements using fuzzy logic approach," Proceedings of Am. Soc. Photogr. Remote Sensing, 2001, CD-ROM.
34. D. Papadias, N. Karacapilidis, and D. Arkoumanis, "Processing fuzzy spatial queries: a configuration similarity approach," Internat. Jurnl of Geog.Info. Sci., vol. 13(2), 1999, pp. 93-118.
35. J.S. Pipkin, "Fuzzy sets and spatial choice," Annals of Association of American Geographers, vol. 68, 1978, pp.196-204.
36. C. Power, A. Simms and R. White, "Hierarchical fuzzy pattern matching for the regional comparison of land use maps," Internat. Jurnl of Geog.Info. Sci, vol. 15(1), 2001, pp. 77-100.
37. C.J. Robinove, "Principles of logic and the use of digital geographic information systems," Fundamentals of GIS: A Compendium (W.J. Ripple, editor), Am. Soc. For Photogr. & Remote Sensing, Washington, D.C., 1989, pp. 61-79.
38. V.B. Robinson, "Some implications of fuzzy set theory applied to geographic databases," Computers, Environment, and Urban Systems, vol. 12, 1988, pp. 89-97.
39. V.B. Robinson, "Individual and multipersonal fuzzy spatial relations acquired using human-machine interaction," Fuzzy Sets and Systems, vol. 113(1), 2000, pp. 133-145.
40. th Intern. Symp. on Automated Cartography, Washington, D.C., 1985, pp. 440-450.
41. th Int. Symp. Machine Processing of Remotely Sensed Data, 1984, pp.179-188.
42. V.B. Robinson and D. Thongs, "Fuzzy set theory applied to the mixed pixel problem of multispectral landrover databases," Geographic Information Systems in Government (B.K. Optiz, editor), A. Deepak Publishing, Hampton,VA, 1986, pp. 871-886.
43. R. Satur and Z. Liu, A contextual fuzzy cognitive map framework for geographic information systems, IEEE Trans. On Fuzzy Systems, vol. 7(5), 1999, pp. 481-494.
44. M. Schneider, "Uncertainty management for spatial data in databases: fuzzy spatial data types," SSD'99 (R.H. Guting, D. Papadias, F. Lochovsky, editors), LNCS 1651, Springer-Verlag, Heidelberg, 1999, pp. 330-351.
45. E. Stefanakis, M. Vazirgiannis, and T. Sellis, "Incorporating fuzzy set methodologies in a DBMS repository for the application domain of GIS," Internat. Jurnl of Geog.Info. Sci, vol. 13(7), 1999, pp. 657-675.
46. D.J. Unwin, "Geographical information systems and problem of 'error and uncertainty'," Progress in Human Geography, vol. 19(4), 1995, pp. 549-558.
47. T.S. Wallsten, D.V.Budescu, A. Rapoport, R. Zwick, and B. Forsyth, "Measuring the vague meanings of probability terms," Journal of Experimental Psychology : General, vol. 115, 1986, pp. 348-365.
48. F. Wang, "A fuzzy grammar and possibility theory-based natural language user interface for spatial queries," Fuzzy Sets and Systems, vol. 113, 2000, pp. 147-159.
49. M.F. Worboys, GIS: A Computing Perspective. Taylor & Francis, London, 1996.
50. A. Yazici and K. Akkaya, "Conceptual modeling of geographic information system application," Recent Issues on Fuzzy Databases (G. Bordogna and G. Pasi, editors), Physica-Verlag Heidelberg, Germany, 2000, 129-151.
51. J.Yen, "Fuzzy logic - a modern perspective," IEEE Trans. On Knowledge and Data Engineering, vol. 11(1), 1999, pp. 153-165.
52. F.B.. Zhan, "Approximate analysis of binary topological relations between geographic regions with indeterminate boundaries," Soft Computing, vol. 2, 1998, pp. 28-34.
53. A.X. Zhu, "A personal construct-based knowledge acquisition process for natural resource mapping," Internat. Jurnl of Geog.Info. Sci., vol. 13(2), 1999, pp. 119-141.
54. A.X. Zhu, "A similarity model for representing soil spatial information,"geoderma, vol. 77, 1997, pp. 217-242.
55. A.X. Zhu and D.S. Mackay, "Effects of spatial detail of soil information on watershed modeling," Journal of Hydrology, vol. 248, 2001, pp. 54-77.
56. L.A. Zadeh, "Fuzzy sets," Inform. and Control, vol. 8, 1965, pp. 338-353.