Abstract
Model should extract useful information from enormous quantities historical stochastic and discrete data in order to improved precision of prediction for land use quantitative and spatial layout. An improved model was presented which applied fuzzy system technology, discrete random Markov chain, grey theory and weights theory. Improved model firstly extracted useful information from enormous quantities historical data by applying grey theory data mining techniques. Secondly establish the dissimilitude fuzzy clustering sections by using fuzzy optimal segmentation Fisher algorithm. Thirdly calculate and standardize the special characteristics of self-correlative coefficients among the historical stochastic variables as weights. Fourthly divide time series data according to the grey trend curve. Grey trend curve described the distribution rule existing in data series. At last, authors give experiment for the improved model. Experimental result shown that the improved model can effectively improve the precision of prediction for land use data. At the same time, model can reduce the complexity of calculation.
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© 2012 Springer-Verlag Berlin Heidelberg
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Miao, Z., Chen, Y., Zeng, X. (2012). Quantitative and Spatial Layout Evolvement Model of Land Use Based on Fuzzy System. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_107
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DOI: https://doi.org/10.1007/978-3-642-34041-3_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34040-6
Online ISBN: 978-3-642-34041-3
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