The Logistic Regression from the Viewpoint of the Factor Space Theory

Qifeng Cheng, Tiantian Wang, Sicong Guo, Dayi Zhang, Kai Jing, Liang Feng, Zhifeng Zhao, Peizhuang Wang

Abstract


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.


Keywords


logistic regression, factor space theory, fuzzy sets, logistic membership function

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DOI: https://doi.org/10.15837/ijccc.2017.4.2918



Copyright (c) 2017 Qifeng Cheng, Tiantian Wang, Sicong Guo, Dayi Zhang, Kai Jing, Liang Feng, Zhifeng Zhao, Peizhuang Wang

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