Based on the uncertainty of intensive land use evaluation, using the grey system theory, the pattern of multilayers grey situation decision in intensive land use evaluation for towns is presented in this paper. At first, according to the firstlayer evaluation indexes, we establish the grey decision situation, and compute the weighted grey decision situation of indexes of the first layer's unit system, construct the second layer evaluation index's grey decision situation of unit system. Secondly, we compute the weighted grey decision situation of indexes of the second layer's unit system, and construct grey decision situation of the second layer's unit system. In the same way, repeating the above processes, the top layer's weighted grey decision situation of unit system is gained. According to the contained information of the top layer's grey decision situation, we determine the type and sequence of evaluation samples. The applied example shows that the model presented in this paper is valid.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper attempts to establish the grey GM(0,N) estimation model of the soil organic matter content spectral inversion under the uncertainties between soil organic matter contents and spectral characteristics and the theory of grey system. Design/methodology/approach -At first, based on the uncertainty of the relationship between the soil organic matter content and spectral characteristics, using the ordered grey accumulation generation and grey GM(0, N) model to establish hyper-spectral grey estimation model of soil organic matter content. Second, the presented model is used to estimate soil organic matter of Hengshan County in Shanxi province in the last part of the paper. Findings -The results are convincing: not only that soil organic matter content spectral inversion grey GM(0, N) model based on the ordered grey accumulation generation theory is valid, but also the model's prediction accuracy is higher, with the sample's average prediction accuracy being 93.662 per cent. Practical implications -The method exposed in the paper can be used on soil organic matter content hyper-spectral inversion and even for other similar forecast problems. Originality/value -The paper succeeds in realising both prediction pattern and application of soil organic matter content hyper-spectral inversion by using the newest developed theories: grey GM(0, N) model based on the ordered grey accumulation generation.

No abstract