WCSE 2017
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.201

A Method for Generating Decision Rules of UAV for Precision Operation

Huifen Dong, Xiaoli Wang, Qingji Gao

Abstract— In order to reduce the complexity of the process decision of UAV operations, a fine and comprehensive operation decision rule is established, and the rough decision rule generation method is studied. Firstly, the design rules of spatial attribute for job requirements are studied, Based on the density distribution of the sample of the precision operating condition attribute, a fine quantization method based on the tangent property is proposed. Then, the attribute reduction based on the rough set attribute set dependency is used to obtain the decision rule after removing the redundant attribute. The rationality and accuracy of the decision rules generation method is verified by the example of "precision agriculture" competition.

Index Terms— design rules; distribution density; precise quantization; decision making; UAV mission decision

Huifen Dong, Xiaoli Wang, Qingji Gao
Institute of Robotics, Civil Aviation University of China, CHINA

ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]

Cite: Huifen Dong, Xiaoli Wang, Qingji Gao, "A Method for Generating Decision Rules of UAV for Precision Operation," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1150-1158, Beijing, 25-27 June, 2017.