RT journal article
T1 Efficiency of decision rule sets in fuzzy rough set theory
A1 Chacón Gómez, Fernando
A1 Cornejo Piñero, María Eugenia
A1 Medina Moreno, Jesús
A2 Matemáticas
K1 Fuzzy rough set theory
K1 Decision rules
K1 Decision algorithms
K1 Efficiency
AB Datasets have been interpreted in (fuzzy) rough set theory as decision tables to obtain useful information to be used, for example, in decision making. These tables have been modeled through a collection of decision rules, which was called decision algorithm by Pawlak. These algorithms are analyzed by the notion of efficiency, which evaluates their quality of classification. This paper presents two different approaches for defining the notion of efficiency in the fuzzy framework. The first approach is a direct generalization to the classical case, while the second one is focused on obtaining a bounded efficiency preserving the philosophy of the classical framework. Both approaches are illustrated by means of different properties and examples.
PB Elsevier
SN 0165-0114
YR 2025
FD 2025
LK http://hdl.handle.net/10498/39062
UL http://hdl.handle.net/10498/39062
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-may-2026