Similarity reasoning-driven evolutionary fuzzy system for monotonic-preserving models
Fuzzy Inference System (FIS) is a popular computing paradigm which has been identified as a solution for various application domains, e.g. control, assessment, decision making, and approximation. However, it suffers from two major shortcomings, i.e., the "curse of dimensionality" and the &...
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| Format: | Thesis |
| Language: | English English |
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Universiti Malaysia Sarawak, (UNIMAS)
2013
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| Online Access: | http://ir.unimas.my/13966/ http://ir.unimas.my/13966/1/Similarity%20Reasoning-Driven%20Evolutionary%20Fuzzy%20System%20for%20Monotonic-Preserving%20models%20%2824pgs%29.pdf http://ir.unimas.my/13966/2/Similarity%20Reasoning-Driven%20Evolutionary%20Fuzzy%20System%20for%20Monotonic-Preserving%20models%20%28fulltext%29.pdf |
Internet
http://ir.unimas.my/13966/http://ir.unimas.my/13966/1/Similarity%20Reasoning-Driven%20Evolutionary%20Fuzzy%20System%20for%20Monotonic-Preserving%20models%20%2824pgs%29.pdf
http://ir.unimas.my/13966/2/Similarity%20Reasoning-Driven%20Evolutionary%20Fuzzy%20System%20for%20Monotonic-Preserving%20models%20%28fulltext%29.pdf