Rough set decision algorithms for modeling with uncertainty
Fernando Chacón‐Gómez, M. Eugenia Cornejo, Jesús Medina, Eloísa Ramírez‐Poussa · Journal of Computational and Applied Mathematics · 2023
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.