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Tri-level multi-attribute group decision making based on regret theory in multi-granular linguistic contexts 期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 35, 页码: 793-806
作者:  Wang, Zelin;  Wang, Ying-Ming;  Wang, Liang
收藏  |  浏览/下载:3/0  |  提交时间:2019/11/21
Solving a type of biobjective bilevel programming problem using NSGA-II 期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2010, 卷号: 59, 期号: 2, 页码: 706-715
作者:  Li, Minqiang;  Lin, Dan;  Wang, Shouyang
收藏  |  浏览/下载:17/0  |  提交时间:2018/07/30
Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文
4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia
Ke H.; Zhang D.; You W.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science  cognitive science  artificial intelligence and others. In our study  a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally  the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.  
具有递阶结构的多目标群决策方法 期刊论文
1994
夏洪胜; 任海英
收藏  |  浏览/下载:2/0  |  提交时间:2016/05/17


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