| The land quality affects the land use mode and the land use efficiency. Comprehensive evaluation of land quality is the basis of the rational development and protection of land resources. The results of Land Quality Geochemical Assessment reflect the level of soil fertility and the level of soil environmental quality,which has a positive role in industrial structure adjustment and the development of distinctive agricultural product. On the other hand, it’s provided a scientific basic for the land preservation system and the strict control on the usages of land.Because the Geochemistry Land Quality rating is a qualitative concept with a fuzzy, using a precise mathematical model will cause the loss of the fuzziness in the concept, that is the fault of the traditional fuzzy mathematics. According to the problem above, this paper focuses on use the Cloud Model to improve the method of Land Quality Geochemical Assessment.The Cloud Model is a model that can integrated the fuzziness and randomness and could achieve the transformation between qualitative and quantitative knowledge. This method can fully taking into the fuzziness and randomness in the evaluation to avoid the uncertainly in the process of evaluation, and then will realize the conversion of evaluate models and geochemical element data to the land quality evaluate levels. The main content of this paper include:(1)Introduced the cloud model and analysis the usability of the cloud model in the Land Quality Geochemical Assessment, according to the general applicability of the normal cloud model.(2)Analysis the correlation of the geochemical element data of the study area and filtering it, instead of the traditional method of element filter. Thus will provide a scientific method for element filter.(3)Using expert group cloud model gather the weighting result of different expert, and building cloud model of each assessment level, calculation the membership of generator element contents with Back Cloud Generator. Calculated the evaluation finial scores according to the weight and membership, and use the maximum subordination principle to divide the land quality.(4)Compare the land quality result of the two method, and found that the assessment method based on Cloud Model is feasible.(5)Using the idea of error propagation theory to compare the reliability of this two methods. After the error analysis, we verify the improvement of Land Quality Geochemical Assessment Method based on Cloud Model is of high accuracy than the traditional one, which means Cloud Model is feasible and has obvious advantage in Land Quality Geochemical Assessment. |
