A weighted inference engine based on interval-valued fuzzy relational theory

作者：

Highlights：

• Extend the BK subproduct from Type-1 fuzzy sets to interval-valued fuzzy sets.

• Weight parameter is introduced to the BK subproduct.

• Develop a novel method that automatically constructs knowledge base from examples.

• The proposed method outperforms state-of-the-art solutions in medical data.

摘要

•Extend the BK subproduct from Type-1 fuzzy sets to interval-valued fuzzy sets.•Weight parameter is introduced to the BK subproduct.•Develop a novel method that automatically constructs knowledge base from examples.•The proposed method outperforms state-of-the-art solutions in medical data.

论文关键词：Fuzzy relations,BK subproduct,Inference engine,Interval-valued fuzzy sets,Fuzzy sets and systems,Membership functions

论文评审过程：Available online 26 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.025