A System implementing Fuzzy Hypothetical Datalog⋆
| Autor: | Fernando Sáenz-Pérez, Pascual Julián-Iranzo |
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| Rok vydání: | 2020 |
| Předmět: |
Programming language
Computer science Deductive database Inference 0102 computer and information sciences 02 engineering and technology computer.software_genre 01 natural sciences Fuzzy logic Operational semantics Datalog 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing computer computer.programming_language |
| Zdroj: | FUZZ-IEEE |
| DOI: | 10.1109/fuzz48607.2020.9177715 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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