Land Use Layout Based on Ontology Case-Based and Rule-Based Reasoning
基于本体案例推理与规则推理的土地利用空间布局研究

It is difficult to apply one single model or method to optimal land use because methods vary and each have particular limitations. Only when we effectively take full advantage of the experience and thoughts of planning decision-makers can we arrive at an optimal land use scheme. Here, we introduce case-based reasoning into the land use planning realm and apply this method to land use planning of a Chinese economic development zone in Changshan, south of Zhangzhou, Fujian Province. Ontology and rule-based reasoning were combined to achieve case correction and obtain a desirable land use layout. We calculated the similarity between two types of feature items and then weighted the sum of the similarity result to obtain a similarity of case. Results indicate that land use based on ontology case-based and rule-based reasoning make use of expert methods and provide satisfactory spatial output under a variety of constraints. One particular characteristic of the proposed method is that it is well designed to yield optimal land use while taking into account economic development and ecological environment protection. Thus it indicates that case-based reasoning is feasible and efficient for land use planning. Land use spatial output based on ontology case-based and rule-based reasoning has advantages when carrying out complex geographic stimulations. The method presented here has a self-adaption function which allows new cases and rules to be added. The abundant cases and rules provided here further improve the feasibility and efficiency of the use of case-based reasoning in land use planning.