The Logistic Regression from the Viewpoint of the Factor Space Theory

International journal of computers, communications and control

Kai Jing¹  Sicong Guo¹  Dayi Zhang¹  Liang Feng¹  Tiantian Wang²  Zhifeng Zhao²  Qifeng Cheng³ 

[1] General Hospital of Coal Mining Industry Group Fuxin,Fuxin, 123000, P. R. China;Institute of Intelligent Engineering and MathematicsLiaoning Technical University,Fuxin, 123000, P. R. China;School of ScienceLiaoning Technical University,Fuxin, 123000, P. R. China

关键词: logistic regression;    factor space theory;    fuzzy sets;    logistic membership function;   

DOI  :  10.15837/ijccc.2017.4.2918

学科分类：计算机科学（综合）

来源: Universitatea Agora

【 摘 要 】

Logistic regression plays an important role in machine learning. People excitingly use it in conceptual matching yet with some details to be understood further. This paper aims to present a reasonable statement on logistic regression based on fuzzy sets and the factor space theory. An example about breast cancer diagnosis is displayed to show how the factor space theory can be incorporated into the understanding and use of logistic regression.

【 授权许可】

Free