Structural optimization of fuzzy rule-based models: Towards efficient complexity management

作者：

Highlights：

• Performance of fuzzy model is influenced by the fraction of original input space.

• Allocation of orders of polynomials dominates over the reduction of input space.

• Optimizing condition and conclusion is helpful for the accuracy and complexity.

摘要

•Performance of fuzzy model is influenced by the fraction of original input space.•Allocation of orders of polynomials dominates over the reduction of input space.•Optimizing condition and conclusion is helpful for the accuracy and complexity.

论文关键词：Fuzzy rule-based systems,Particle swarm optimization,Least square error,Fuzzy c-means clustering,Complexity management

论文评审过程：Received 1 August 2019, Revised 19 December 2019, Accepted 5 March 2020, Available online 7 March 2020, Version of Record 6 April 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113362