Resumen

GARMENDIA, L; SALVADOR, A  y  TRILLAS, E. Grouping a Set into Inference Independent Subsets given a Fuzzy Set and Indistinguishability. Inf. tecnol. [online]. 2004, vol.15, n.3, pp. 39-44. ISSN 0718-0764.  doi: 10.4067/S0718-07642004000300006.

It is defined an algorithm that, given a classical set, a fuzzy subset and a T-indistinguishability, computes independent subsets of the classical set which are independent of inference. This solves the partitioning problem that generates the information of any T-indistinguishability relation instead of a classical equivalence relation or a fuzzy relation of similarity. The concept of measure of specificity is axiomatically defined under a T-indistinguishability. The proposed algorithm allows to compute several measures of specificity of fuzzy sets when aT-indistinguishability is known

Palabras clave : information theory; fuzzy set; measure of specificity; indistinguishability.