Name
Abstract | ||
|---|---|---|
Fuzzy description logics (FDLs) have arisen as suitable formalisms for representing and reasoning with the vague or imprecise knowledge that is intrinsic to many application domains. They extend classical description logics by allowing additional truth degrees that lie between the classical “true” and “false” values. These truth degrees typically belong to a subset of the interval [0, 1]. For example, in a cloud computing environment, one might be interested in modeling the notion of an overused component. This is a typical example of an imprecise concept, since it is impossible to give a precise point where a component starts being overused. Instead, in FDLs, all components are assigned the degree to which they are being overused, where a higher degree implies a more extensive usage. For example, an idle component is overused with degree 0, while a component running at half its capacity might be overused to degree 0.8. The axioms |
Year | Venue | Field |
|---|---|---|
2015 | Description Logics | Conjunctive query,Information retrieval,Axiom,Computer science,Fuzzy logic,Description logic,Theoretical computer science,Rotation formalisms in three dimensions,Instrumental and intrinsic value,Boolean conjunctive query,Cloud computing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Borgwardt | 1 | 314 | 34.46 |
| Theofilos P. Mailis | 2 | 90 | 6.26 |
| Rafael Peñaloza | 3 | 459 | 62.80 |
| Anni-Yasmin Turhan | 4 | 388 | 53.02 |