Name
Abstract | ||
|---|---|---|
Based upon previous studies on laws of large numbers for fuzzy variables, we attempt to discuss five Weak Laws of Large Numbers (WLLN) for fuzzy variables based on credibility measure, which are essentially different from WLLN for fuzzy variables based on probability measure. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FSKD.2010.5569638 | FSKD |
Keywords | Field | DocType |
fuzzy set theory,fuzzy variables,credibility measure,weak law,strong laws of large numbers,probability measure,large number,weak laws of large numbers,fuzzy variable,number theory,probability,chromium,tin,fuzzy sets,bismuth,strong law of large numbers,uncertainty,law of large numbers,random variables | Econometrics,Random variable,Law of large numbers,Fuzzy set,Artificial intelligence,Fuzzy number,Number theory,Credibility,Fuzzy logic,Probability measure,Statistics,Machine learning,Mathematics | Conference |
Volume | ISBN | Citations |
1 | 978-1-4244-5931-5 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baogui Xin | 1 | 10 | 3.72 |
| Tong Chen | 2 | 22 | 9.69 |
| Wei Yu | 3 | 39 | 10.28 |