Title :
A new method for fuzzy interpolative reasoning based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules
Author :
Shou-Hsiung Cheng;Shyi-Ming Chen;Chia-Ling Chen
Author_Institution :
Department of Information Management, Chienkuo Technology University, Changhua, Taiwan
fDate :
7/1/2015 12:00:00 AM
Abstract :
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.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340946
