Characterization and Interpretation of Classes Based on Fuzzy Rules in ill-Structured Domains
Fernando Vázquez, Juan Luis Díaz de León · Research in Computing Science · 2005
Nowadays, when a classification is given from a set of objects, it seems to be necessary to make use of tools to assist users to interpret tasks, in order to establish the semantic structure of the resultant classes from a given classification. It is often enough for the user to build the classes automatically, but he needs a sort of tool to help himself to understand the reason why such classes were detected there. CIADEC is a computer system that implements the methodology AUGERISD, which allows us to obtain the automatic characterization and interpretation of conceptual descriptions, combining: concepts, artificial intelligence techniques, inductive learning and statistics. A system based on fuzzy rules to find out a characterization of the given classes by an automatic form is described in this paper. A specific case applied to Wastewater Treatment Plant (WWTP) shows the stages for this methodology