|本期目录/Table of Contents|

[1]王龙,裴道武.加权差异测度与模糊推理的鲁棒性分析[J].浙江理工大学学报,2018,39-40(自科1):120-124.
 WANG Long,PEI Daowu.Weighted difference measure and robustness analysis of fuzzy reasoning[J].Journal of Zhejiang Sci-Tech University,2018,39-40(自科1):120-124.
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加权差异测度与模糊推理的鲁棒性分析()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第39-40卷
期数:
2018年自科1期
页码:
120-124
栏目:
出版日期:
2017-12-31

文章信息/Info

Title:
Weighted difference measure and robustness analysis of fuzzy reasoning
文章编号:
1673-3851 (2018) 01-0120-05
作者:
王龙裴道武
浙江理工大学理学院,杭州 310018
Author(s):
WANG Long PEI Daowu
School of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, China
关键词:
模糊推理差异测度鲁棒性CRI算法三I算法
分类号:
TS195.644
文献标志码:
A
摘要:
针对差异测度概念的缺陷,提出了加权差异测度的概念。基于加权差异测度分析了模糊集运算的扰动性,给出了相应的扰动参数。进一步利用加权差异测度分析了模糊推理中两种重要方法的鲁棒性。这些研究结果推广了基于差异测度得出的相关结论,为模糊推理的鲁棒性分析提供了更多的依据。

参考文献/References:

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[2] 王国俊.模糊推理的全蕴涵三I算法[J].中国科学(E),1999,29(1):43-53.
[3] Ying M S. Perturbation of fuzzy reasoning[J]. IEEE Transactions on Fuzzy Systems,1999,7(5):625-629.
[4] 戴松松,裴道武.模糊集的相对扰动[J].模糊系统与数学,2011,25(5):1-6.
[5] Wang G J, Duan J Y. On robustness of the full implication triple I inference method with respect to finer measurement[J]. International Journal of Approximate Reasoning,2014,55(3):787-796.
[6] Jin J H, Li Y M, Li C Q. Robustness of fuzzy reasoning via logically equivalence measure[J]. Information Sciences,2007,177(22):5103-5117.
[7] Montes S, Couso I, Gil P, et al. Divergence measure between fuzzy sets[J]. International Journal of Approximate Reasoning,2002,30(2):91-105.
[8] Li Y F, Qin K Y, He X X. Dissimilarity functions and divergence measures between fuzzy sets[J]. Information Sciences,2014,288(288):15-26.
[9] Li Y F, Qin K Y, He X X, et al. Robustness of fuzzy connectives and fuzzy reasoning with respect to general divergence measures[J]. Fuzzy Sets and Systems,2016,294:63-78.

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备注/Memo

备注/Memo:
收稿日期: 2017-07-13
网络出版日期: 2017-11-09
基金项目: 国家自然科学基金项目(11171308,61379018,61472471)
作者简介: 王龙(1993-),女,湖北随州人,硕士研究生,主要从事模糊数学方面的研究
通信作者: 裴道武,E-mail:peidw@163.com
更新日期/Last Update: 2018-03-13