Name
Abstract | ||
|---|---|---|
This paper introduces a Bézier curve-based mechanism for constructing membership functions of convex normal fuzzy sets. The mechanism can fit any given data set with a minimum level of discrepancy. In the absence of data, the mechanism can be intuitively manipulated by the user to construct membership functions with the desired shape. Some numerical experiments are included to compare the performance of the proposed mechanism with conventional methods. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0377-2217(01)00157-6 | European Journal of Operational Research |
Keywords | Field | DocType |
Fuzzy sets,Membership functions,Bézier curves,Measures of information,Fuzzy numbers | Mathematical optimization,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy mathematics,Fuzzy set,Type-2 fuzzy sets and systems,Fuzzy number,Membership function,Mathematics | Journal |
Volume | Issue | ISSN |
139 | 1 | 0377-2217 |
Citations | PageRank | References |
16 | 1.53 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrés L. Medaglia | 1 | 634 | 27.00 |
| Shu-Cherng Fang | 2 | 1153 | 95.41 |
| Henry L. W. Nuttle | 3 | 115 | 9.34 |
| James R. Wilson | 4 | 840 | 143.42 |