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KBMS for Spatial Planning Based on Case-based Reasoning

Authors: Jinting Zhang*, Wuhan University
Topics: Urban and Regional Planning, Rural Geography
Keywords: case-based Reasoning,Spatial Planning , Smart planning
Session Type: Paper
Presentation File: No File Uploaded

Through establishing a Knowledge Base Management System(KBMS) that fully takes into account people's happiness, social and economic development and resource and environmental constraints when making the spatial planning of a certain area, Users could achieve the recommendation results of optimal land spatial structure after inputting the basic resource and environmental constraints of a given research area.
The database of the existing human development index(HDI), happiness index(SWB) and ecological footprint (EF) at the global country level from 1961 to 2016 were collected ;The maximum subjective happiness index, the maximum human development index and the minimum ecological footprint are carried out as the optimization rules. The fuzzy matching criterion is that the development index, land area and population size are basically the similar. The knowledge system framework is constructed according to the artificial intelligence thought of "preliminary case retrieval - case evaluation - case corrected output". Empirical research shows that Case-based reasoning,as an important knowledge-based problem solving and learning method in the field of artificial intelligence, provides a new idea for the research on the establishment of “three regions“ and “ three lines “of demarcation for specific research areas and the decision parameters output by the knowledge base system have great reference value.

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