Abstract
Decision rules are a powerful tool for the management of information from a relational database, allowing the extraction of conclusions. A decision algorithm collects a characteristic set of decision rules and its efficiency is one of its most interesting properties, since it allows us to know the usefulness of the decision algorithm and to compare it with other algorithms. This paper focuses on the generalization of the notions of decision algorithm and efficiency to the fuzzy case.
Partially supported by the 2014-2020 ERDF Operational Programme in collaboration with the State Research Agency (AEI) in project PID2019-108991GB-I00, and with the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia in project FEDER-UCA18-108612, and by the European Cooperation in Science & Technology (COST) Action CA17124.
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Chacón-Gómez, F., Eugenia Cornejo, M., Medina, J., Ramírez-Poussa, E. (2022). Fuzzy Rough Set Decision Algorithms. In: Ciucci, D., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2022. Communications in Computer and Information Science, vol 1601. Springer, Cham. https://doi.org/10.1007/978-3-031-08971-8_6
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