Resumen

REYES GONZALEZ, Yunia; MARTINEZ SANCHEZ, Natalia  y  GARCIA LORENZO, María Matilde. Structuring the knowledge base in a Case-Based System using conceptual algorithms.. Rev cuba cienc informat [online]. 2018, vol.12, n.3, pp. 62-77. ISSN 2227-1899.

Case-based Systems are an Artificial Intelligence paradigm widely used for the construction of intelligent decision support systems. However, there are still limitations related to the knowledge base organization and the treatment of numerical and non-numerical values that affect the effectiveness of the responses in this type of system. This research presents a proposal of procedures to be followed to hierarchically structure the knowledge base in a Case Based System using the conceptual algorithms of the Logical Combinatorial Pattern Recognition that favors the access and retrieve of similar cases to solve problems characterized for mixed and incomplete data. The model is validated from experiments that use the Friedman test demonstrating the significantly superior results of the proposed conceptual hierarchical structure in relation to similar structures that form hierarchies.

Palabras clave : case-based systems; conceptual algorithms; logical combinatorial pattern recognition.

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