A fuzzy intelligent system for land consolidation – a case study in Shunde, China
- 1College of Mathematics and Informatics, South China Agricultural University, Guangzhou, Guangdong, China
- 2Guangdong Province Key Laboratory of Land Use and Consolidation, Guangzhou, Guangdong, China
- 3Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, Guangzhou, Guangdong, China
- 4Field Science Base of the Ministry of Land and Resources for South China Land Consolidation, Guangzhou, Guangdong, China
- 5Foshan City Shunde District Decision Consultation and Policy Research Office, Shunde District, Foshan City, Guangdong, China
- 6Guangdong Youyuan Land Information Technology Co., Ltd, Guangzhou, Guangdong, China
Abstract. Traditionally, potential evaluation methods for farmland consolidation have depended mainly on the experts' experiences, statistical computations or subjective adjustments. Some biases usually exist in the results. Thus, computer-aided technology has become essential. In this study, an intelligent evaluation system based on a fuzzy decision tree was established, and this system can deal with numerical data, discrete data and symbolic data. When the original land data are input, the level of potential of the agricultural land for development will be output by this new model. The provision of objective proof for decision-making by authorities in rural management is helpful. Agricultural land data characteristically comprise large volumes, complex varieties and more indexes. In land consolidation, it is very important to construct an effective index system. A group of indexes need to be selected for land consolidation. In this article, a fuzzy measure was adopted to accomplish the selection of specific features. A fuzzy integral based on a fuzzy measure is a type of fusion tool. The optimal solution with the fewest non-zero elements was obtained for the fuzzy measure by solving a fuzzy integral. This algorithm provides a quick and optimal way to identify the land-index system when preparing to conduct land consolidation. This new research was applied to Shunde's "Three Old" consolidation project which provides the data. Our estimation system was compared with a conventional evaluation system that is still accepted by the public. Our results prove to be consistent, and the new model is more automatic and intelligent. The results of this estimation system are significant for informing decision-making in land consolidation.