Name
Abstract | ||
|---|---|---|
This paper analyzes some of the major sources of error which account for variations in performance among the 72 logical systems studied in [2,4,5]. One of the most important of these sources is discretization error. We show that a new approach to implementing logical systems based on level sets is a powerful and efficient way to control discretization error for material implication relations, though it produces mixed results under Mamdani logic. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0165-0114(95)00280-4 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy logic modeling,level sets,implication operators,error,level set | Discrete mathematics,Discretization error,Fuzzy logic,Algorithm,Level set,Artificial intelligence,Material implication,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
80 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
4 | 0.55 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Whalen | 1 | 115 | 32.39 |
| Brian Schott | 2 | 20 | 8.35 |
| Gwangyong Gim | 3 | 6 | 1.67 |