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Rule base simplification by using a similarity measure of fuzzy sets
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rezaee, Babak |
| Copyright Year | 2012 |
| Abstract | In fuzzy models, redundancy may be present in the form of similar fuzzy sets, especially in the construction of a fuzzy system from a set of given training examples. In this paper, a simple formula for calculating the degree of similarity of Trapezoidal membership functions is derived in order to merge similar membership functions and hence to obtain a more transparent rule-base with a minimum number of membership functions. A simplification algorithm by using the proposed similarity measure has been applied to fuzzy models of nonlinear functions approximation. |
| Starting Page | 193 |
| Ending Page | 201 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| DOI | 10.3233/IFS-2012-0509 |
| Volume Number | 23 |
| Alternate Webpage(s) | http://profdoc.um.ac.ir/pubs_files/p11035844.pdf |
| Alternate Webpage(s) | https://doi.org/10.3233/IFS-2012-0509 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |