DocumentCode
3700266
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
Volume
1
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
346
Lastpage
351
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.
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
Type
conf
DOI
10.1109/ICMLC.2015.7340946
Filename
7340946
Link To Document