| Summary: | 碩士 === 國立成功大學 === 資訊管理研究所 === 94 === Because land resource in Taiwan is finite and human unceasingly destroy the environment, governments under the vision of sustainable development are trying to make the best use of limited national land resource to avoid over-exploitation and overuse, especially land use near watershed. Unsuitable development in land will cause serious problems in flooding, the depredation of ecology, and the pollution of water quality on account of environmental sensitivity of lands near watershed. Therefore analyzing and planning these spatial data about land use involve a huge amount of influential factors, such as environment protection, ecology, water resource reuse etc. Assessing land use near watershed has to be based on regulations and experts’ knowledge. Accordingly, this study adopts expert system techniques to acquire and retain expertise from experts, and discusses the development of Land Use near River Basin Expert System (LURBES) for evaluating how to use environmental resources of land near watershed in Taiwan. This expert system contains five sections: (1) knowledge acquisition and representation, (2) inference method, (3) explanation mechanism, (4) user interface, (5) update facility. First, since knowledge acquisition is crucial for the development of an expert system, this study adopts decision tables and decision tree to acquire expertise to confirm completeness and correctness, and represents acquired knowledge in rule-based form. Second, forward chaining inference engine is used as inference method to provide analysis results in order to support land user planners in making better decisions. Third, regulations about land use are weighed in rules in order to enhance the explanation mechanism for decision makers realizing relationships between regulations. Fourth, the user interface incorporates Geographic Information System to display map information for decision makers querying. Fifth, the update facility provides maintainable machinery for users to update the knowledge base. Finally, this system is evaluated by professionals for assessing these functions and providing suggestions that can enhance capability of the system. In the research achievement, LURBES based on these components provides accurate evaluation results and combines expert system technologies with GIS functions for Water Resource Agency to better manage land use near watershed.
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