Building Monotonicity-Preserving Fuzzy Inference Models with Optimization-Based Similarity Reasoning and a Monotonicity Index
In this paper, a novel approach to building a Fuzzy Inference System (FIS) that preserves the monotonicity property is proposed. A new fuzzy re-labeling technique to re-label the consequents of fuzzy rules in the database (before the Similarity Reasoning process) and a monotonicity index for use in...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/2736/1/Building%20Monotonicity-Preserving%20Fuzzy%20Inference%20Models%20with%20Optimization-Based%20Similarity%20Reasoning%20and%20a%20Monotonicity%20Index.pdf http://ir.unimas.my/id/eprint/2736/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Sarawak |
| Language: | English |