This function is called by `HyFIS`

to update the parameters within
the HyFIS method.

```
HyFIS.update(data.train, def, rule, names.varoutput, var.mf, miu.rule,
num.labels, MF, step.size = 0.001, degree.rule)
```

data.train

a matrix (\(m \times n\)) of normalized data for the training process, where \(m\) is the number of instances and \(n\) is the number of variables; the last column is the output variable.

def

matrix of defuzzification results. See `defuzzifier`

.

rule

fuzzy IF-THEN rules. See `rulebase`

.

names.varoutput

a list of names of the output variable.

var.mf

a matrix of parameters of the membership functions.
Please see `fuzzifier`

.

miu.rule

a matrix of degree of rules which is a result of the `inference`

.

num.labels

a matrix (\(1 \times n\)) whose elements represent the number of labels (or linguistic terms), where n is the number of variables.

MF

a matrix of parameters of the membership functions
which is a result of the `fuzzifier`

.

step.size

a real number, the step size of the gradient descent.

degree.rule

a matrix of degrees of rules. See `frbs-object`

.