Re: Bio Fuzzy

Howard Clyma (
Wed, 22 Jul 1998 20:51:36 +0200 (MET DST) wrote:

Does any body knows something about Fuzzy Logic Biological implementations

-----== Posted via Deja News, The Leader in Internet Discussion ==-----   Now offering spam-free web-based newsreading

    I know this is a little late, but I am still getting my references organized.  However, here is a parital list of my references of fuzzy logic in agriculture and the environment.  A couple of the references are more about uncertainty in agricultureal or environmental modeling.

    A really good website for this is by:
AIRIES (Artificial Intelligence Research in Environmental Sciences)
The AIRIES Fuzzy Team includes Rich Bankert, Mike Hadjimichael, and Bjarne Hansen.

There page is:
Fuzzy Logic in Environmental Sciences

For those to whom this site looks familar, they used to be located at but have moved their site.

I hope that this is helpfull.


1. Ameskamp, M. and J. Lamp.  1996.  Three dimensional Soil Prediction:  Fuzzy Rules and a GIS.  Presented at Land-Information Systems: Developments for planning the sustainable use of land resources, Hanover 20-23 Nov. 1996  Proceedings to be published by European Commission.
2. Ameskamp, M..  1996.  Three-Dimensional Rule-Based Continuous Soil Modeling.  PhD thesis, Faculty of Engineering, Kiel University.  Technical Report 9701, Institute of Computer Science and Applied Mathematics, Kiel.
3. Bardossy, A. and M. Disse.  1993.  Fuzzy rule-based models for infiltration.  Water Resources Research. Feb Vol. 29 (2) pp. 373-382.
4. Bardossy, A., I. Bogardi and W.E. Kelly.  1989.  Geostatistics Utilizing Imprecise (Fuzzy) Information.  Fuzzy Sets and Systems 31 pp. 311-328.
5. Bardossy. A. and L. Duckstein.  1992.  Analysis of a Karstic Aquifer Management Problem by Fuzzy Composite Programming.  Water Resources Bulletin Vol 28(1) Feb.   pp. 63-73.
6. Bare, B. and Mendoza, G.  1988. "A soft optimization approach to forest land management planning." Canadian Journal of Forest Research. Vol.18, p.545-552.
7. Bare, B. and Mendoza, G.  1990. "Fuzzy programming approaches in handling uncertainty and imprecision in timber harvest scheduling." A paper presented at the Management Science/Operations Research Working Group Session at the SAF National Convention, Washington, D.C.
8. Bare, B. and Mendoza, G.  1992. "Timber harvest scheduling in a fuzzy decision environment." Canadian Journal of Forest Research. Vol.22, p.423-428.
9. Bezdek, J. Trivedi, M., Ehrilich, R. and Full, W. (1981). "Fuzzy clustering: a new approach for geostatistical analysis." Int. J. of Systems, Measurement, and Decisions, 2, p.13-23.
10. Bezdek, J.C. and K. Solomon.  1981.  Simulation of Implicit Numerical Characteristics Using Small Samples.  Applied Systems and Cybernetics. Vol. VI: Fuzzy Sets and Systems, Possibility Theory and Special Topics in System Research. 1981. pp. 2773-2784.
11. Bogardi, I., A. Bardossy and L. Duckstein.  1990.   Risk Management for Groundwater Contamination:  Fuzzy Set Approach.  In: Optimizing Resources for Water Management.  Proceedings of the ASCE 17th Annual National Conference Apr. 17-21 Fort Worth, TX.  pp. 445-449.
12. Bosserman, R. and Ragade, R.  1982. "Ecosystem analysis using fuzzy set theory." Ecological Modeling, 16, p.191-208.
13. Burrough, P.A.  1989. "Fuzzy mathematical methods for soil survey and land evaluation." J. of Soil Sci., 40, p.477-492.
14. Burrough, P.A.  1989.  Fuzzy mathematical methods for soil survey and land evaluation.  Journal of Soil Science, Vol. 40.  pp. 477-492.
15. Chameau. J. and Santamarina, J.  1989. "Knowledge-based system for soil improvement." J. of Computing in Civil Engineering, Vol.3, No.3, July, p.253-265.
16. Chang, L and Burrough, P.  1987.  "Fuzzy reasoning: a new quantitative aid for land evaluation." Soil Survey and Land Evaluation, 7, p.69-80.
17. Clyma, H.E. and D.L. Martin.  1996.  Forecasting Evapotranspiration using Fuzzy Logic.  Paper No. 962100.  ASAE, 2950 Niles Rd., St. Joseph, MI 49085-9659.
18. Clyma, H.E. and D.L. Martin.  1996.  Irrigation management using fuzzy logic.  In: Evapotranspiration and irrigation scheduling.  Ed. Camp,C.R., E.J. Sadler, and R.E. Yoder.  Proceedings of the International Conference, San Antonio, Texas, USA, November 3-6.  pp. 1134-1139.
19. Deshpande, A.W. , D.V. Raje and P.Khanna.  1996.  Agreement Index for Water Consumption. Eufit '96, September 2-5, 1996. pp. 1816-1820.
20. Deshpande, A.W., D.V. Raje and P. Khanna.  1996.  Fuzzy Description of River Water Quality.  Eufit '96, September 2-5.  pp 1795-1801.
21. Dou, C., W. Woldt, I. Bogardi, and M. Dahab.  1996.  Modeling Groundwater Flow and Transport within a Fuzzy Set Framework:  Part II - Solute Transport.  Eufit, '96, September 2-5.  pp 50-54.
22. English, M.J.  1981.  The uncertainty of crop models in irrigation optimization.  Trans. of the ASAE.  Nov/Dec 34(6):917-.
23. Ferson, S. and T.F. Long. 1998.  Deconvolution Can Reduce Uncertainty In Risk Analyses.  In: Risk Assessment:  Logic and Measurement. ed. M.C Newman and C.L Strojans.  United States Sleeping Bear Pr-Ann Arbor.
24. Flick, R. and van Kooten, G.  1993. "Modelling management of agricultural ecosystems using fuzzy set theory: methodological issues." Paper presented at the joint meetings of the Western Agricultural Economics Association and the Canadian Agricultural Economics and Farm Management Society, 1993, Edmonton, Alberta.
25. Fox, F.A. and D.C. Slack.  1997.  Irrigation Scheduling Decision Support.  Computers in Agriculture 1994  Proceedings of the 5th International Conference 6-9 Feb. 1997 Orlando FL.
26. Gowing, J., A. Tarimo and O. El-Awad.  1996.  A rational method for assessing irrigation performance at farm level with the aid of fuzzy set theory.  Irrigation and Drainage Systems 10:319-330.
27. King, J.P., I. Broner, R.L. Croissant, and C.W. Basham.  1991.  Malting barley water and nutrient management knowledge-based system.  Trans. of the ASAE.  Nov/Dec Vol. 34(6):2622-2630.
28. Kollias, V.J. and A. Voliotis.  1991.  Fuzzy reasoning in the development of geographical information systems.  International Journal of Geographical Information Systems.  Vol 5(2). pp. 209-223.
29. 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. Geographical Information Systems 5, p.209-223.
30. Kurata, K. and N. Eguchi.  1990.  Machine learning of fuzzy rules for crop management in protected cultivation.  Trans. of the ASAE. Jul/Aug Vol. 33(4):1360-1368.
31. Lacroix, R., M. Strasser, K. Wade and R. Kok.  1994.  A Fuzzy-logic Based Decision-Support System for Dairy Cattle Breeding.  Presented at the 1994 International Winter ASAE Meeting December 13-16, 1994 in Atlanta, GA.
32. Lee, Y.W., M.F. Dahab and I. Bogardi.  1992.  Nitrate Risk Management Under Uncertainty.  Journal of Water Resources Planning and Management. Vol. 118, No. 2, March/April.  pp 151-164.
33. Leung, Y..  1982.  Approximate Characteristics of Some Fundamental Concelpts of Spatial Analysis.  Geographical Analysis, Vol. 14, No. 1, January.  pp 29-40.
34. Malano, H.M. and G. Gao.  1992.  Ranking and Classification of Irrigation system performance using fuzzy set theory: case studies in Australia and China.  Irrigation and Drainage Systems 6: 129-148.
35. Mays, M.D., I. Bogardi and A. Bardossy.  1995.  Managing Risk and Variability with Fuzzy Soil Interpretations.  In:  Site-Specific Management for Agricultural Systems.  ASA-CSSA-SSSA, Madison, WI. pp 187-198.
36. McBratney, A.B. and B.M. Whelan.  1995.  Continuous Models of Soil Variation For Continuous Soil Management.  In:  Site Specific Management for Agricultural Systems.  pp. 325-338.
37. McBratney, A.B. and Moore, A.W.  1985.  "Application of fuzzy sets to climatic classification." Agricultural and Forest Meteorology, 35, p.165-185.
38. McBratney, A.B., De Gruijter, J.J., Brus, D.J.  1992.  "Spacial prediction and mapping of continuous soil classes." Geoderma, 54, p.39-64.
39. McBratney, A.B., J.J. De Gruijter and D.J. Brus.  1992.  Spacial prediction and mapping of continuous soil classes.  Geoderma, Vol. 54.  pp. 39-64.
40. Mendoza, G. and Sprouse, W.  1989.  "Forest planning and decision-making under fuzzy environments: an overview and illustrations." Forest Science, Vol. 35, No.2, p.481-502.
41. Nielsen, D.R., O. Wendroth and M.B. Parlange.  1995.  Opportunities for Examining On-Farm Soil Variability.  In:  Site-Specific Management for Agricultural Systems. ASA-CSSA-SSSA, Madison, WI. pp 95-132.
42. Odeh, I., McBratney, A. and Chittleborough, D.  1990.  "Design of optimal sample spacings for mapping soil using fuzzy-k-means and regionalized variable theory." Geoderma, 47, p.93-122.
43. Odeh, I., McBratney, A. and Chittleborough, D.  1992.  "Fuzzy-c-means and kriging for mapping soil as a continous system." Soil Sci. Soc. Am. J., Vol.56, Nov-Dec., p.1848-1854.
44. Odeh, I.O.A., A.B. McBratney and D.J. Chittenbrough.  1992.  Fuzzy-c-Means and Kriging for Mapping Soil as a Continuous System.  Soil Science American Journal. Vol 56.  pp. 1848-1854.
45. Odeh, I.O.A., A.B. McBratney and D.J. Chittleborough.  1990.  Design of optimal sample spacings for mapping soil using fuzzy-k-means and regionalized variable theory.  Geoderma. Vol 47.  pp. 93-122.
46. Pickens, J. and Hof, J.  1991.  "Fuzzy goal programming in foresty: an application with special solution problems." Fuzzy Sets and Systems, 39, p.239-246.
47. Pickens, J., Hof, J. and Bartlett, E.  1987.  "Fuzzy goals, MAXIMIN programming, and natural resource management." The 1985 Symposium on Systems Analysis in Forest Resources, Athens, Georgia.
48. Powell, B., A.B. McBratney and D.A. Macleod.  1992.  Fuzzy classification of soil profiles and horizons from the Lockyer Valley, Queensland, Australia.  Geoderma.  Vol 52. pp. 173-197.
49. Powell, B., McBratney, A., and MacLeod, D.  1991.  "The application of ordination and fuzzy classification techniques to field pedology and soil stratigraphy in the Lockyer Valley, Queensland."  Catena, 18, p.409-420.
50. Powell, B., McBratney, A., and MacLeod, D.  1992.  "Fuzzy classification of soil profiles and horizons from the Lockyer Valley, Queensland, Australia." Geoderma, 52, p.173-197.
51. Ribeiro, S.F. and R.E. Yoder.  1997.  An Automated Fuzzy Irrigation Control System.  In:  Proceedings Irrigation Association Technical Conference.  Nov 2-4, 1997, Nashville TN:  pp. 171-178.
52. Roberts, D.  1989.  "Analysis of forest succession with fuzzy graph theory." Ecological Modelling, 45, p.261-274.
53. Roush, W.  1989. "Fuzzy decision analysis." Egg Industry, May.
54. Roush, W., Bock, R., and Marszalek, M.  1989. "Evaluation of crowding of caged laying hens using fuzzy decision analysis." Appl. Anim. Behav.Sci..
55. Savchenko, C. and A. Borisov.  1997.  Decision Making Based on a Bayesian Belief Network.  Eufit '97, September 8-11.  pp. 72-76.
56. Schmoldt, D.L.  1989. "An influence model for qualitative simulation of ecological systems." Artificial Intelligence and Growth Models for Forest Management Decisions, p.339-344.
57. Schmoldt, D.L.  1990. "A simulation of plant physiological processes using fuzzy variables." Proceedings of the 1990 National Conference on Artificial Intelligence.
58. Sher, A. and I. Amir.  1994.  Optimization with Fuzzy Constraints in Agricultural Production Planning.  Agricultural Systems. Vol. 45.  pp 421-441.
59. Sher, Arnold and Amir, Ilan  1994. "Optimization with fuzzy constraints in agricultural production planning." Agricultural Systems, 45, p.421-441.
60. Tang, H.J. and Van Ranst, E.  1992. "Testing of fuzzy set theory in land suitability assessment for rainfed grain maize production." Pedologie, XLII-2, p.129-147.
61. Tang, H.J., Debaveye, J., Ruan, D., and Van Ranst, E.  1991. "Land suitability classification based on fuzzy set theory." Pedologie, XLI-3, p.277-290.
62. Thangavadivelu, S. and T.S. Colvin.  1991.  Problem Solving in Farm Management Using Fuzzy Set Theory.  Presented by S. Thangavadivelu and T.S. Colvin at the 1991 Mid-Central ASAE Meeting April 19-20, 1991 at St. Joseph, MO.
63. Wenger, R. and Yue Rong  1987. "Two fuzzy set models for comprehensive environmental decision-making." J. of Env. Mgt., 25, p.167-180.
64. Woldt, W., C. Dou, I. Bogardi and M. Dahab.  1996.  Modeling Groundwater Flow and Transport within a Fuzzy Set Framework:  Part I - Flow.  Eufit, '96, September 2-5.  pp 159-163.
65. Xiang, H., B.P. Verma, and G. Hoogenboom.  1994.  Fuzzy irrigation decision support system.  Paper No. 943557.  ASAE, 2950 Niles Rd., St. Joseph, MI 49085-9659.
66. Yee, L.  1987. "On the imprecision of boundaries." Geographical Analysis, 19, p.125-151.


  ############################################################################ This message was posted through the fuzzy mailing list. (1) To subscribe to this mailing list, send a message body of "SUB FUZZY-MAIL myFirstName mySurname" to (2) To unsubscribe from this mailing list, send a message body of "UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL" to (3) To reach the human who maintains the list, send mail to (4) WWW access and other information on Fuzzy Sets and Logic see (5) WWW archive: