Wu F, Webster C J. Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B: Planning and Design, 1998, 25: 103~126.
[11]
Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. Int J Geographical Information Science, 2000, 14(2): 131~152.
Yan Liu, Stuart R P. Modelling urban development with cellular automata incorporating fuzzy -set approaches. Computers, Environment and Urban Systems, 2003, 27: 637~658.
Zadeh L A. Fuzzy sets. Information and Control,1965, 8: 338~353.
[17]
Zadeh L A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1978, 1: 3~28.
[18]
Wu F. Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system. Journal of Environmental Management, 1997, 53: 293~308.
[19]
Dragicevic S, Marceau D J. A fuzzy set approach for modeling time in GIS. International Journal of Geographical Information Science, 2000, 14(3): 225~246.
[20]
Dragicevic S, Marceau D J. Spatio-temporal interpolation and fuzzy logic reasoning for GIS simulation of rural-urban transition. Cartography and Geographical Information Science, 1999,(2): 125~137.
[21]
Dragicevic S, Marceau D J. An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes. Fuzzy Sets and Systems, 2000b, 113(1):69~80.
[22]
Jang JSR. ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Transaction on System, Man, and Cybernetics, 1993,23(3):665-685.