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利用隶属函数宽度的模糊插值推理方法 被引量：3

Fuzzy interpolative-type reasoning method using width of membership function
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摘要 提出了一种基于隶属函数的宽度的模糊推理方法,该方法应用范围广,使用于所有正规的凸模糊集,能够保证结果的正规性和凸性,而且能够很好地推广到多输入情况。 A new fuzzy reasoning method based on the width of membership functions is proposed.This reasoning method is so extensive that it can apply to all normal and convex fuzzy sets.The reasoning consequences are always normal and convex.This method is also effective in multi-input instance.
作者 李霞 李瑞华 石岩
机构地区 石家庄经济学院信息工程学院 阳泉师范高等专科学校 九州东海大学工程学院信息系统工程系
出处 《计算机工程与应用》 CSCD 北大核心 2011年第11期139-141,203,共4页 Computer Engineering and Applications
基金 河北省科学技术研究与发展项目(No.062135122)
关键词 模糊推理 规则库 稀疏模糊规则库 凸模糊集合的宽度 fuzzy reasoning rule base sparse fuzzy rule base width of convex fuzzy set
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献9

  • 1Zadeh L A.The concept of a linguistic variable and its applica- tion to approximate reasoning, Part 3[J].Information Sciences, 1976,9:43-80.
  • 2王宝文,李瑞华,刘文远,李霞,石岩,方淑芬.一种基于泰勒级数的简化的Kóczy线性插值推理方法[J].小型微型计算机系统,2005,26(5):836-840. 被引量：1
  • 3Koczy L T,Hirota K.Interpolative reasoning with insufficient evidence in sparse Fuzzy rules bases[J].Inform Sci, 1993:169-201.
  • 4Koczy L T,Hirota K.Approximate reasoning by linear rule inter-polaion and general approximation[J].Internet J Approximate Reasoning, 1993 : 197-225.
  • 5Mizumoto M, Zimmermarm H J.Comparison of fuzzy reasoning methods[J].Fuzzy Sets and Systems,1982(8):253-264.
  • 6Shi Y,Mizumoto M,Wu Z Q.Reasoning conditions on Koczy's interpolative reasoning method in sparse fuzzy rule bases[J]. Fuzzy Sets and Systems, 1995,75(1) :63-71.
  • 7Shi Y,Mizumoto M.Reasoning conditions on Koczy's interpolative reasoning method in sparse fuzzy rule bases Part lI[J]. Fuzzy Sets and Systems, 1997,87 ( 1 ) : 47-56.
  • 8Wang S,Tsuchiya T,Mizumoto M.A learning algorithm for distance-type fuzzy reasoning method[J].Biomedical Soft Computing and Human sciences, 2000,6( 1 ) : 61-68.
  • 9王天江,李凡,卢正鼎.稀疏规则条件下的线性插值推理研究[J].小型微型计算机系统,2003,24(7):1350-1353. 被引量：3

二级参考文献15

  • 1LI Fan. Fuzzy infromation process system[M]. Beijing, Beijing University Press. 1998.
  • 2Zadeh L A. Fuzzy Sets and Their Applications to Cognitive and Decision Processes [M]. L. A. Zadeh et al. Academic Press.New York. 1975,1-39.
  • 3Koczy L T. Fuzzy If --- Then rule models and their mation into one another [J]. IEEE Trans. Syst. , Man, Cybern. , 1996, 26(9): 621-637.
  • 4LI Hong-xing. Interpolative principle of fuzzy control [J]. Science in China(Series E). 1998,28(3) :259-266.
  • 5Koczy L T, Hirota K. Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases [J]. Information Sciences.1993,71 (1,2) :169-201.
  • 6Koczy L T, Hirota K. Approximate reasoning by linear rule interpolation and general approximation[J]. International Journal of Approximate Reasoning, 1993,9 (3) : 197 - 225.
  • 7Shi Y, Mizumoto M. Some considerations on Koczy's interpolative reasoning method[C]. Proceedings of the International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and the Second International Fuzzy Engineering Symposium. 1995, IV:2117-2122.
  • 8Kóczy L T, Hirota K. Interpolative reasoning with insufficient evidence in sparse fuzzy rules bases[J]. inform. Sci. 1993,71:169-201.
  • 9Kóczy L T, Hirota K. Approximate reasoning by linear rule interpolation and gen- eral approximation[J]. Internat. J. Approximate Reasoning , 1993,9:197-225.
  • 10Shi Y, Mizumoto M, Wu Z Q. Reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases [J].Fuzzy Sets and Systems, 1995, 75(1):63-71.

共引文献2

同被引文献11

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二级引证文献6

计算机工程与应用
2011年 第11期

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