Usage
reduce(x, rules, ratio, tnorm = c("goedel", "goguen", "lukasiewicz"), tconorm = c("goedel", "goguen", "lukasiewicz"), numThreads = 1)
Arguments
x
Data for the rules to be evaluated on. Could be either a numeric matrix or numeric vector.
If matrix is given then the rules are evaluated on rows. Each value of the vector or column
of the matrix represents a predicate - it's numeric value represents the truth values
(values in the interval [0, 1]).
rules
Either an object of class "farules" or list of character vectors where each vector is a rule
with consequent being the first element of the vector. Elements of the vectors (predicate
names) must correspond to the x's names (of columns if x is a matrix).
ratio
A percentage of rule base coverage that must be preserved. It must be a value within the
$[0, 1]$ interval. Value of 1 means that the rule base coverage of the result must be
the same as coverage of input rules. A sensible value is e.g. 0.9.
tnorm
Which t-norm to use as a conjunction of antecedents. The default is "goedel".
tconorm
Which t-norm to use as a disjunction, i.e. to combine multiple antecedents to get coverage
of the rule base. The default is "goedel".
numThreads
How many threads to use for computation. Value higher than 1 causes that the algorithm runs
in several parallel threads (using the OpenMP library).