Non-monotonic reasoning with normative conflicts in multi-agent deontic logic

Adaptive Logic Characterizations of Input/Output Logic

“…Our reconstructions trivialize inconsistent sets of facts while the corresponding original I/O logics do not trivialize them, except when rules such as (F) are derivable. 9 As usual, the closure of a set X under a set of rules R is the smallest superset of X that is closed under applications of rules in R. 10 Here is why: (⇒) is trivial. When giving examples in this paper, we will only use the operation of simple-minded output out 1 which allows us to focus on the formal novelties that are introduced in the current paper.…”

Data Cleaningtool: Usageoffuzzyroughsettheory as Machine Learningpre-Processing

“…Scenario [5] "SC5" Scenario [1] subsequent with instance reduction based on Fuzzy Rough Entropy model.…”

“…Scenario [9] "SC9" Scenario [5] subsequent with Replace Missing Values of the reduced dataset with the means.…”

“…Filter methods typically get benefit of all the training data when selecting a subset of features.Filters have proven to be much faster than wrapper that is late to carry out induction based on frequencies calculations. Another method eliminates features whose information content relative to decision class is still the same using the remaining features [5][6].…”

Data Cleaning of Medical Data for Knowledge Mining

“…Model deployment: The selection of a good model does not mean the end of the project, and we need to provide the knowledge to users with a convenient manner [8]. Usually, we need to apply the model to the process of decision making.…”