中国邮电高校学报(英文) ›› 2012, Vol. 19 ›› Issue (6): 89-93.doi: 10.1016/S1005-8885(11)60322-1

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Fuzzy reasoning model based on universal combination operation model

陈佳林,刘诚霞   

  1. 北京邮电大学计算机学院智能科学与技术中心
  • 收稿日期:2012-05-07 修回日期:2012-09-21 出版日期:2012-12-31 发布日期:2012-12-14
  • 通讯作者: 陈佳林 E-mail:lifecjl@163.com
  • 基金资助:

    This work was supported by the Fundamental Research Funds for the Central Universities (2009RC0212).

Fuzzy reasoning model based on universal combination operation model

  • Received:2012-05-07 Revised:2012-09-21 Online:2012-12-31 Published:2012-12-14
  • Contact: Jia-Lin CHEN E-mail:lifecjl@163.com
  • Supported by:

    This work was supported by the Fundamental Research Funds for the Central Universities (2009RC0212).

摘要:

The universal combination operation model is a comprehensive decision model of continuous-valued logic. It overcomes limitations of the scope of operations of reasoning operators in the current comprehensive decision-making system. This article discusses relationship of mutual information and general correlation coefficient and gives the corresponding rules of them, the optimal matching operator is selected to complete fuzzy decision according to mutual information between candidate attributes. The relationship of mutual information between attributes and generalized correlative coefficient provides the principle to select the matching operator. According to the results of experiment, it is more reasonable to enhance classified precision effectively. There is a certain application value of the article’s method.

关键词:

generalized correlative coefficient, the universal combination operation, mutual information, operator cluster

Abstract:

The universal combination operation model is a comprehensive decision model of continuous-valued logic. It overcomes limitations of the scope of operations of reasoning operators in the current comprehensive decision-making system. This article discusses relationship of mutual information and general correlation coefficient and gives the corresponding rules of them, the optimal matching operator is selected to complete fuzzy decision according to mutual information between candidate attributes. The relationship of mutual information between attributes and generalized correlative coefficient provides the principle to select the matching operator. According to the results of experiment, it is more reasonable to enhance classified precision effectively. There is a certain application value of the article’s method.

Key words:

generalized correlative coefficient, the universal combination operation, mutual information, operator cluster

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