Name
Abstract | ||
|---|---|---|
This paper considers a parametrised aggregation operator, originally introduced in the formal framework of many- valued logic and in the applicative context of information scoring. It studies this operator, outside this applicative context, looking at specific configurations of interest: highlighting the wide range of its instantiations, from the lower to the upper extreme cases; showing some t-norms it can encode, as specific cases; and also how it allows rich and flexible intermediate behaviours. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/FUZZ-IEEE.2019.8858957 | 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Keywords | Field | DocType |
abating aggregation operator,many-valued logic,parametrised aggregation operator,applicative context,information scoring | ENCODE,Task analysis,Computer science,Fuzzy logic,Theoretical computer science,Context model,Artificial intelligence,Operator (computer programming),Many-valued logic,Limiting,Sparse matrix,Machine learning | Conference |
ISSN | ISBN | Citations |
1544-5615 | 978-1-5386-1729-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrien Revault d'Allonnes | 1 | 0 | 0.34 |
| Marie-Jeanne Lesot | 2 | 220 | 32.41 |