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Abstract
Comparison of Boolean and Fuzzy logic approaches in a GIS for Natural Resources Management, Fars Province, Iran
Majid H. Tangestani
Department of Earth Sciences, Faculty of Sciences
Shiraz University, Iran
tangestani@susc.ac.ir
Sima Ebadian
Remote Sensing and GIS Center, Shiraz University, Iran
Mohammad Reza Raoufat
Natural Resources Office of Fars Province, Shiraz
Abstract :
This paper explains developing two knowledge-based approaches according to multi-criteria conditions in natural resources management and potential mapping at Fars province by the use of fuzzy gamma and Boolean logic models in GIS. Data layers including climate, temperature, rainfall, slope, aspect, geology, land use and vegetation were input and integrated in a vector-based GIS. The Boolean logic model was used for evaluating the potential of desertification, wildfire, and land transfer to private sector. A comparison of results from Boolean and fuzzy gamma approaches in forest and rangeland potential mapping and development revealed that although the Boolean logic produces the output maps using more simple and rapid procedures, the fuzzy gamma approach subdivides the area into fuzzy susceptibilities, and highlighted more advantages. Although the fuzzy model is more efficient in natural resources managements, the evaluation of membership functions and factor weights is still a critical decision.
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