宋鹰, 何宗宜. 基于粒计算的制图综合知识获取模型研究[J]. 武汉大学学报 ( 信息科学版), 2009, 34(6): 748-751.
引用本文: 宋鹰, 何宗宜. 基于粒计算的制图综合知识获取模型研究[J]. 武汉大学学报 ( 信息科学版), 2009, 34(6): 748-751.
SONG Ying, HE Zongyi. Knowledge Acquisition Model for Cartographical Generalization Based on Granular Computing[J]. Geomatics and Information Science of Wuhan University, 2009, 34(6): 748-751.
Citation: SONG Ying, HE Zongyi. Knowledge Acquisition Model for Cartographical Generalization Based on Granular Computing[J]. Geomatics and Information Science of Wuhan University, 2009, 34(6): 748-751.

基于粒计算的制图综合知识获取模型研究

Knowledge Acquisition Model for Cartographical Generalization Based on Granular Computing

  • 摘要: 提出了一个基于粒计算的制图综合选取知识获取模型,旨在探讨从范例数据中获取制图对象之间内在关联知识的途径,为制图综合选取推理提供决策规则。并以河流选取为例,对基于粒计算的制图综合选取的知识获取模型和方法进行了讨论。

     

    Abstract: A model of knowledge acquisition based on granular computing is proposed.By this model,decision rules of geographical entities or objects hided in database can be found and used to direct the selection reasoning of cartographical generalizations.We discussed the model and the means of knowledge acquisition for cartographical generalizations ground on granular computing with a case for the selection of rivers.

     

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