Name
Abstract | ||
|---|---|---|
In this paper the dependences between the Dempster-Shafer theory and rough set theory have been used to find a minimal template in a given decision table. The Dempster-Shafer theory [5] is called a mathematical theory of evidence. This theory is based on belief functions and plausible reasoning is used to combine separate pieces of information (evidence) to calculate the probability of an event. Rough set theory was proposed by Pawlak in 1982 [3] as a mathematical tool for describing the uncertain knowledge. In 1987 [1] and 1991 [6] the basic functions of the evidence theory were defined, based on the notation from rough set theory. These definitions allow finding interesting dependences in decision tables. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73451-2_43 | RSEISP |
Keywords | Field | DocType |
evidence theory,minimal templates,minimal template,knowledge discovery,decision table,rough set theory,basic function,belief function,dempster-shafer theory,mathematical tool,mathematical theory,interesting dependence,dempster shafer theory | Class (set theory),Effective descriptive set theory,Mathematical theory,C-minimal theory,Theoretical computer science,Rough set,Artificial intelligence,Dempster–Shafer theory,Dominance-based rough set approach,Mathematics,Universal set | Conference |
Volume | ISSN | Citations |
4585 | 0302-9743 | 4 |
PageRank | References | Authors |
0.56 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Marszał-Paszek | 1 | 11 | 2.28 |
| Piotr Paszek | 2 | 40 | 5.95 |