%0 Journal Article 
%A Chacón Gómez, Fernando
%A Cornejo Piñero, María Eugenia
%A Medina Moreno, Jesús
%A Ramírez Poussa, Eloísa
%T Rough set decision algorithms for modeling with uncertainty
%D 2023
%@ 0377-0427
%U http://hdl.handle.net/10498/29123
%X 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
%K Decision algorithms
%K Decision rules
%K Fuzzy rough set theory
%K Rough set theory
%~ Universidad de Cádiz