Relaxing the universal quantifier of the division in fuzzy relational databases
| Autor: | Juan C. Cubero, José Galindo, Juan Miguel Medina, M. Teresa García |
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| Rok vydání: | 2001 |
| Předmět: |
Theoretical computer science
Fuzzy classification business.industry Type-2 fuzzy sets and systems Fuzzy logic Theoretical Computer Science Human-Computer Interaction Artificial Intelligence Quantifier (linguistics) Fuzzy mathematics Fuzzy number Fuzzy set operations Artificial intelligence Domain relational calculus business Software Mathematics |
| Zdroj: | International Journal of Intelligent Systems. 16:713-742 |
| ISSN: | 0884-8173 |
| DOI: | 10.1002/int.1032 |
| Popis: | In a previous paper, we presented an approach to calculate relational division in fuzzy databases, starting with the GEFRED model. This work centered on dealing with fuzzy attributes and fuzzy values and only the universal quantifier was taken into account since it is the inherent quantifier in classical relational division. In this paper, we present an extension of that division to relax the universal quantifier. With this new system we can use both absolute quantifiers and relative quantifiers irrespective of how the function of the fuzzy quantifier is defined. We also include a comparison with other fuzzy division approaches to relax the universal quantifier that have been published. Furthermore, in this paper we have extended the fuzzy SQL language to express any kind of fuzzy division. © 2001 John Wiley & Sons, Inc. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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