Fuzzy repertory table a method for acquiring knowledge about input variables to machine learning algorithm.

In this paper, we develop a technique for acquiring the finite set of attributes or variables which the expert uses in a classification problem for characterising and discriminating a set of elements. This set will constitute the schema of a training data set to which an inductive learning algorithm...

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Bibliographic Details

Published in:	IEEE Transactions on fuzzy systems 12, 1 (2004).
Main Author:	Castro-Schez, J.J
Format:	Article
Language:	English
Subjects:	Classification problem. Finite set of attributes. Fuzzy repertory grid. Fuzzy repertory table. Input variables. Knowledge acquisition. Knowledge-based systems. Machine learning algorithm. Personal construct theory.