مقایسه سه تابع عضویت مختلف در ارزیابی تناسب اراضی منطقه آمل به روش فازی

References                                                     

Ayoubi S.H., and Jalalian A. 2010. Land Evaluation (Agricultural and Natural Resources). 2^nd Ed.  Isfahan University of Technology Publication Center, Isfahan, Iran, 385p. (In Persian)

Babaei M., Honarjoo N., and Toomanian N. 2014­. Qualitative land suitability evaluation using in fuzzy method and parametric for rice in Zarrinshahr of Isfahan province. In: The International Conference on New Ideas in Agriculture, Islamic Azad University Khorasgan branch, Isfahan, pp. 282-290.

Baja S., Chapman D.­M., and Dragovich D. 2001. A conceptual model for defining and assessing land management units using a fuzzy modeling approach in a GIS environment. Environmental Management, 29:­ 647-661.

Burrough P.­A. 1989. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science, 40:­ 447–92.

Eaalem M., Camber A., and Fisher P. 2011 A comparison of Fuzzy AHP and ideal point methods for evaluation land suitability.Transactions in GIS Journal, 15(­3): 29-346.

FAO. 1976.  A framework for land evaluation. FAO Soils Bulletin Series, No. 32. 66p.

Geological survey and Mineral Exploration of Iran. 2006. Geology Map of Iran, 1:100000 series, Shite N, Amol.

Hartati S., and Sitanggang I.­S. 2010. A fuzzy based decision support system for evaluating land suitability and selecting crops.  Journal of Computer Science, 6­ (4): 417-424.

Liu Y., Jiao L., Liu Y., and He J. 2013. A self-adapting fuzzy inference system for the evaluation of agricultural land. Environmental Modelling and Software, 40: 226-234.

Newhall F., and Berdanie C.R. 1996. Calculation of soil moisture regimes from climatic record. Natural Resources Conversations Service, Soil Survey Investigation Report, 18p.

McBratney A.­B., and Odeh I.­O.­A. 1997. Application of Fuzzy sets in soil science: Fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma, 77: 85–113.

Page A.L., Miller R.H., and Keeney D.R. 2009. Methods of Soil Analysis-Part 1, 2. Physical, Chemical and Microbiological Methodes. 2^nd Ed. Agron. Monogr. 9. Soil Science Society of America, Madison, WI. 1186p.

Ruan D. 1990. A critrical study of widely used fuzzy implication operators and their influence on the influence rules in fuzzy expert systems. Ph.D Thesis of State Univecity of Gent, Belgium, 97p.

Sanchez J.F. 2007. Application of knowledge based and fuzzy theory-oriented approaches to suitability for upland rice and rubber. M.Sc Thesis of ITC, Netherland, 112p.

Schoeneberger P.­J., Wysocki D.­A., Benham E.C., and Broderson, W.D. 2006. Field Book for Describing and Sampling Soils. Natural Resources Conservation Service, USDA, National Soil Survey Center, Lincoln, NE, 314p.

Servati M., Jafarzadeh A.­A., Ghorban M. A., Shahbazi F., and Davatgar, N. 2014. Comparison of the FAO and Albero Models in Prediction of Irigated Wheat Production Potentials in the Khajehregion. Journal of Water and Soil Science, 24: 1-14. (In Persian).

Sys C., Van Ranst E., Debaveye J., and Beernaert F. 1993. Land Evaluation-Part 3. Crop Requirements. General Administration for Development Cooperation Place, Brussels, Belgium, 183p.

Tang H., Debaveye J., Ruan D., and Van Ranst E. 1991. Land suitability classification based on fuzzy set theory. Pedologie, 3:­277-290.

USDA. 2014. Keys to Soil Taxonomy. 12^th Ed. Soil Survey Staf, Natural Resource Conservation Service, 382p.

Van Ranst E., Tang H., Groenemans R., and sinthurahat S. 1996. Application of fuzzy logic to land suitability for rubber production in peninsular Thailand. Geoderma, 70­: 1-19.

Zhang J., Su Y., Wu Y., and Liang, H. 2015. GIS based land suitability assessment fortobacco production using AHP and fuzzy set in Shandong province of China. Computers and Electronics in Agriculture, 114: ­202–211.

Zhu A.X., Yang L., Li B., Qin C., Pei T., and Liu B. 2010. Construction of membership functions for predictive soil mapping under fuzzy logic. Geoderma, 155: 164-174.