【24h】

Neuro-fuzzy data analysis and its future directions

机译:神经模糊数据分析及其未来方向

获取原文

摘要

In this paper, using neuro-fuzzy approach, two quantification methods of pairwise comparisons are presented in order to derive the associated weights of different objects. A simplified fuzzy reasoning model is obtained in the form of Gaussian radial basis functions. The psychological sensation responses of human beings to minute vibrations are analysed by the neuro-fuzzy approach. The proposed approach is compared with Guttman's method and Saaty's analytic hierarchy process. In our two neuro-fuzzy approaches, the psychological values are obtained with the interval and ratio scale properties.
机译:在本文中,使用神经模糊方法,提出了两种成对比较的量化方法,以得出不同对象的相关权重。以高斯径向基函数的形式获得了简化的模糊推理模型。通过神经模糊方法分析了人类对微小振动的心理反应。将该方法与Guttman方法和Saaty的层次分析法进行了比较。在我们的两种神经模糊方法中,通过间隔和比率量表属性获得心理值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号