A new method for fuzzy interpolative reasoning based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules
Shou-Hsiung Cheng, Shyi‐Ming Chen, Chia-Ling Chen · 2015
This paperproposes a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules. The experimental results show that the proposed method can overcome the drawbacks of the existing method for fuzzy interpolative reasoning in sparse fuzzy rule-based systems.