Usage
Rule.compatibility(ejemplo, rule_cat, rule_num, catParticip, numParticip, xmin, xmedio, xmax, n_matrices, max_cat, max_num, t_norm)
Arguments
ejemplo
The instances of the dataset, a matrix with one example PER COLUMN and without the CLASS ATTRIBUTE.
rule_cat
Part of the rule with the categorical values.
rule_num
Part of the rule with the numerical values.
catParticip
vector indicating which categorical attributes participate in the rule and so, they must be evaluated.
numParticip
vector indicating which numerical attributes participate in the rule and so, they must be evaluated.
xmin
numeric vector which indicate the minimum value of the fuzzy sets of every numeric attribute that participate in the rule.
xmedio
numeric vector which indicate the medium value of the fuzzy sets of every numeric attribute that participate in the rule.
xmax
numeric vector which indicate the maximum value of the fuzzy sets of every numeric attribute that participate in the rule.
n_matrices
number of fuzzy sets that there are in the rule (The length of vectors xmin, xmedio and xmax)
max_cat
numeric vector indicating the maximum value of categorical values.
max_num
numeric vector indicating the maximum value for fuzzy partitions on every attribute
t_norm
The T-norm to use to compute the compatibility degree. 0 for minimum t-norm. Other value for product t-norm