PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (2): 187-192.doi: 10.11820/dlkxjz.2009.02.004

• Original Articles • Previous Articles     Next Articles

The Application of Adaptive Neuron-Fuzzy Inference System in Simulating Land Use Change

LI Xinyu1, GE Ying2, ZHANG Zunzhong1   

  1. 1. Eastern China Geological and Mining Organization for Non-Ferrous Metals in Jiangsu Province, Nanjing, 210007, China;
    2. College of Civil Engineering, Hohai University, Nanjing 210098, China
  • Received:2008-09-01 Revised:2009-01-01 Online:2009-03-25 Published:2009-03-25


The land use and land cover change (LUCC) is one of the most important projects on global environmental changes. The process of land use change resembles a progressive and nondeterministic process both spatially and temporally. Fuzzy set theory offers a way to represent and handle uncertainty present in the continuous real world. So, the fuzzy inference theory has important significance for researching on land use change that was discussed deeply in the study. Using Chongchuan district in Nantong City of Jiangsu Province as a case, the paper mainly studied the fuzzy inference model of land use change based on Adaptive Neuron-Fuzzy Inference System(ANFIS for short) and simulated and forecasted the transition progress of the study area by using the model. The results confirm the potential of fuzzy inference to produce realistic simulations of the land use change progress. The land use model based on ANFIS could reflect the complexity and uncertainty of land use change. It is convenience to obtain the parameters and fuzzy rules of the model by the ANFIS from the history data and predigest the model structure. So the study supplied another possible idea for simulating the land use change.

Key words: ANFIS, fuzzy inference, land use change, Nantong City of Jiangsu Province, simulation