RT journal article
T1 Rough set decision algorithms for modeling with uncertainty
A1 Chacón Gómez, Fernando
A1 Cornejo Piñero, María Eugenia
A1 Medina Moreno, Jesús
A1 Ramírez Poussa, Eloísa
A2 Matemáticas
K1 Decision algorithms
K1 Decision rules
K1 Fuzzy rough set theory
K1 Rough set theory
AB The use of decision rules allows to extract information and to infer conclusions from relational databases in a reliable way, thanks to some indicators like support and certainty. Moreover, decision algorithms collect a group of decision rules that satisfies desirable properties to describe the relational system. However, when a decision table is considered within a fuzzy environment, it is necessary to extend all notions related to decision algorithms to this framework. This paper presents a generalization of these notions, highlighting the new definitions of indicators of relevance to describe decision rules and decision algorithms
PB Elsevier
SN 0377-0427
YR 2023
FD 2023-06-23
LK http://hdl.handle.net/10498/29123
UL http://hdl.handle.net/10498/29123
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026