Optimal Scale Selection in Multi-scale Contexts Based on Granular Scale Rules
HAO Chen1, FAN Min1, LI Jinhai1, YIN Yunqiang1, WANG Dujuan2
1.Faculty of Science, Kunming University of Science and Technology, Kunming 650500 2.School of Management Science and Engineering, Dalian University of Technology, Dalian 116024
Abstract：Firstly, several kinds of multi-scale contexts are defined firstly, the notion of a scale rule is put forward, and some properties of scale rules are discussed. Secondly, decision scale is introduced into multi-scale contexts to form multi-scale decision contexts, and the redundancy between scale rules is also investigated. Moreover, granular scale rules are employed to define the consistency of multi-scale decision context, and an optimal scale selection method is presented grounded on the consistency guarantee of the multi-scale decision context. Finally, numerical experiments show the effectiveness of the proposed method.
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2016, Vol. 29 
