Resumo

CERUTO-CORDOVES, Taymi; ROSETE-SUAREZ, Alejandro  e  ESPIN-ANDRADE, Rafael. Search of fuzzy predicates in databases using metaheuristics. Ing. Ind. [online]. 2014, vol.35, n.1, pp. 74-84. ISSN 1815-5936.

Nowadays, both the quantity of information stored and the necessity of developing algorithms in order to extract useful knowledge of this information automatically have been increased in a parallel way. These algorithms are included inside the area of extraction of knowledge in databases and they are focused on a certain model (rules, groups, trees). The development of appropriate models can lead to obtaining successful decisions and for that reason this paper proposes a more flexible way to represent the extracted knowledge of databases. The presented method is based on the paradigm of predicates logic and the calculation of its values using fuzzy logic operators. It also includes a process of optimization that allows to obtain the results and to improve them.

Palavras-chave : knowledge discovery in databases; fuzzy logic; metaheuristics.

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