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| 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 |
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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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Received: 29 May 2015
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| Fund:Supported by National Natural Science Foundation of China (No.61562050,61573173,61305057), Fundamental Research Funds for the Central Universities (No.DUT15QY32) |
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2016, Vol. 29 
