Learning fuzzy semantic cell by principles of maximum coverage, maximum specificity, and maximum fuzzy entropy of vague concept

作者：

Highlights：

• Three numeric characteristics of the fuzzy semantic cell are proposed.

• A three-principle method for learning the fuzzy semantic cell is proposed.

• A granularity control factor is introduced into the learning method.

• The introduction of fuzzy entropy makes the fuzzy semantic cell model robust.

摘要

•Three numeric characteristics of the fuzzy semantic cell are proposed.•A three-principle method for learning the fuzzy semantic cell is proposed.•A granularity control factor is introduced into the learning method.•The introduction of fuzzy entropy makes the fuzzy semantic cell model robust.

论文关键词：Concept modeling,Fuzzy semantic cell,Justifiable granularity,Expectation granularity,Fuzzy entropy,Prototype theory

论文评审过程：Received 4 November 2016, Revised 11 April 2017, Accepted 18 May 2017, Available online 1 June 2017, Version of Record 4 September 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.05.014