@misc{10498/29123,
year = {2023},
month = {6},
url = {http://hdl.handle.net/10498/29123},
abstract = {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},
publisher = {Elsevier},
keywords = {Decision algorithms},
keywords = {Decision rules},
keywords = {Fuzzy rough set theory},
keywords = {Rough set theory},
title = {Rough set decision algorithms for modeling with uncertainty},
doi = {10.1016/j.cam.2023.115413},
author = {Chacón Gómez, Fernando and Cornejo Piñero, María Eugenia and Medina Moreno, Jesús and Ramírez Poussa, Eloísa},
}