A methodology for controlling the information quality in interval-valued fusion processes: Theory and application
作者：
Highlights：
• Width-limitation on interval fusion functions to conserve the information quality.
• General framework for n-dimensional width-limited interval-valued fusion functions.
• Construction methods for applicable width-limited interval-valued fusion functions.
• Case study in interval-valued fuzzy rule-based classification systems.
• Controlling the interval outputs’ widths improves the classification accuracy.
摘要
•Width-limitation on interval fusion functions to conserve the information quality.•General framework for n-dimensional width-limited interval-valued fusion functions.•Construction methods for applicable width-limited interval-valued fusion functions.•Case study in interval-valued fuzzy rule-based classification systems.•Controlling the interval outputs’ widths improves the classification accuracy.
论文关键词：Fusion functions,Interval-valued aggregation functions,Interval information quality,n-dimensional interval-valued overlap functions,Fuzzy rule-based classification systems
论文评审过程：Received 19 October 2021, Revised 5 August 2022, Accepted 28 September 2022, Available online 3 October 2022, Version of Record 22 October 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.109963
