Description Usage Arguments Details Value Author(s) See Also Examples
Take a fuzzy set in the form of a vector of membership degrees and a vector of numeric values that correspond to that degrees and perform a selected type of defuzzification, i.e. conversion of the fuzzy set into a single crisp value.
1 
degrees 
A fuzzy set in the form of a numeric vector of membership
degrees of values provided as the 
values 
A universe for the fuzzy set. 
type 
Type of the requested defuzzification method. The possibilities are:

Function converts input fuzzy set into a crisp value. The definition of
input fuzzy set is provided by the arguments degrees
and
values
. These arguments should be numeric vectors of the same length,
the former containing membership degrees in the interval [0, 1] and
the latter containing the corresponding crisp values: i.e., values[i]
has a membership degree degrees[i]
.
A defuzzified value.
Michal Burda
fire()
, aggregateConsequents()
, perceive()
, pbld()
, fcut()
, lcut()
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