RT Conference Proceedings
T1 A System implementing Fuzzy Hypothetical Datalog
A1 Julian-Iranzo, Pascual
A1 Sáenz Pérez, Fernando
A2 IEEE, 
AB This paper presents a system implementing a novel addition to a fuzzy deductive database: hypothetical queries. Such queries allow users to dynamically make assumptions on a given database instance, either by adding or removing data, without changing the instance. Further, since a fuzzy database includes fuzzy relations, these relations can also be changed with assumptions. This ability for dynamic change seamlessly enables writing “what-if” applications such as decision-support systems. Here, the new language Fuzzy Hypothetical Datalog is presented, along with an operational semantics and stratified inference. It has been implemented in a working system DES readily available on-line.
YR 2020
FD 2020-07
LK https://hdl.handle.net/20.500.14352/114016
UL https://hdl.handle.net/20.500.14352/114016
LA eng
NO P. Julián-Iranzo and F. Sáenz-Pérez, "A System implementing Fuzzy Hypothetical Datalog⋆," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8, doi: 10.1109/FUZZ48607.2020.9177715.
DS Docta Complutense
RD 6 abr 2025