Name
Abstract | ||
|---|---|---|
The article presents a conceptual framework for computations with imprecise values. Typically, the treatment of imprecise values differs from the treatment of precise values. While precise computations use a single number to characterize a value, computations with imprecise values must deal with several numbers for each value. This results in significant changes in the program code because values are represented, e.g., by expectation and standard deviation and both values must be considered within the computations. It would be desirable to have a solution where only limited changes in very specific places of the code are necessary. The mathematical concept of lifting may lead to such a solution. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-78946-8_5 | Lecture Notes in Geoinformation and Cartography |
Keywords | Field | DocType |
imprecise values,error propagation,lifting | Program code,Data mining,Propagation of uncertainty,Systems engineering,Computer science,Theoretical computer science,Conceptual framework,Standard deviation,Computation | Conference |
ISSN | Citations | PageRank |
1863-2246 | 1 | 0.36 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerhard Navratil | 1 | 15 | 4.61 |
| Farid Karimipour | 2 | 41 | 7.17 |
| Andrew U. Frank | 3 | 835 | 332.71 |