共被期刊论文引用了3次
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| 1 | λ-模糊粗传递模型及其特性显示文摘根据实际中的三种信息传递情况,本文利用粗糙模糊集、模糊子集、截集等理论讨论了λ-模糊粗传递模型的特性,得到了λ-模糊粗传递模型与模糊粗传递模型的关系,给出了两种分解定理。以此为基础,分析了λ-模糊粗传递模型中信息的变化情况,给出了信息精确传递的条件,进一步得出了提高信息传递精确性的方法。λ-模糊粗传递是粗糙模糊集的一种新的应用。 | 刘纪芹 李之毅 | 2010 | 模糊系统与数学2010，24，5： | 1 |
| 2 | Information rough communication based on both-branch fuzzy set显示文摘The concept of rough communication based on both-branch fuzzy set is proposed, in which the loss of information may exist, for each agent there has a different language and can not provide precise communication to each other. The method of information measure in a rough communication based on both-branch fuzzy set is proposed. By using some concepts, such as |α|-both-branch rough communication cut, the relation theorem between rough communication based on both-branch fuzzy concept and rough communication based on classical concept is obtained. Finally, an example of rough communication based on both-branch fuzzy set is given. | Hongkai Wang Yanyong Guan Lei Du | 2011 | Journal of Systems Engineering and Electronics2011，22，2： | 0 |
| 3 | Genetic algorithm for λ-optimal translation sequence of rough communication显示文摘In rough communication,because each agent has a different language and can not provide precise communication to each other,the concept translated among multi-agents will loss some information,and this results in a less or rougher concept.With different translation sequences the amount of the missed knowledge is varied.The λ-optimal translation sequence of rough communication,which concerns both every agent and the last agent taking part in rough communication to get information as much as he (or she) can,is given.In order to get the λ-optimal translation sequence,a genetic algorithm is used.Analysis and simulation of the algorithm demonstrate the effectiveness of the approach. | Hongkai Wang Yanyong Guan Chunhua Yuan | 2011 | Journal of Systems Engineering and Electronics2011，22，4： | 0 |
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