3 papers
cs.LG2024
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
Ata Koklu, Yusuf Guven, Tufan Kumbasar
In this paper, we tackle the task of generating Prediction Intervals (PIs) in high-risk scenarios by proposing enhancements for learning Interval Type-2 (IT2) Fuzzy Logic Systems (…
cs.LG2024
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
Yusuf Guven, Ata Koklu, Tufan Kumbasar
General Type-2 (GT2) Fuzzy Logic Systems (FLSs) are perfect candidates to quantify uncertainty, which is crucial for informed decisions in high-risk tasks, as they are powerful too…
cs.LG2024
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
Ata Koklu, Yusuf Guven, Tufan Kumbasar
Type-1 and Interval Type-2 (IT2) Fuzzy Logic Systems (FLS) excel in handling uncertainty alongside their parsimonious rule-based structure. Yet, in learning large-scale data challe…