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《Statistics & Decision》 2018-17
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Coupling Decisions Based on Mirror Information of Community Network Structure

Yang Lifeng;Chen Hong;Wang Yuheng;Long Ruyin;School of Economics, Fuyang Teachers College;School of Management, China University of Mining and Technology;  
The distributed new energy regional arrangement is affected by the group intention, while the group intention information is not conducive to the dynamic selection of the region of new energy arrangement due to its characteristics of massive,complexity and mirroring. This paper firstly proposes extracting the structure of different communities based on the effective structure characteristics of samples, and then constructs the community structure mirroring intention information coupled decision algorithm. The paper also infers the mirror information of the group acceptance intention under different community structure, and distributed new energy development is conducted in turn in different communities according to the level of willingness. Finally, a sample questionnaire survey is conducted for the new energy acceptance willingness of residents in a region of northern Jiangsu,and an example is given. This method can use less information to infer and evaluate the repeatability of group image intention,which is convenient for regional arrangement of distributed new energy based on aging information.
【Fund】: 国家自然科学基金资助项目(71673271;71473248);; 国家社会科学基金重大项目(16ZDA056);; 安徽省教育厅人文社会科学研究重点项目(SK2017A0281);; 安徽高校省级人文社会科学项目(2015SK010)
【CateGory Index】: C934
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