how to create hyperbox for fuzzy set? and how to calculate hyperbox membership degree?

Question

I want to know that while creating hyperbox (Fuzzy min max Neural network) all the parameters of input dataset (WBC or PID ) should be used or work can be done with single parameter also And want to know weather the size of hyperbox depend on input pattern ?And how calculate membership degree of hyperbox?

or

Is there any easier way to generate hyperbox for fuzzy set that you know.

Answer 1

While creating Hyperbox you required dataset and dataset contains number of attributes and there will be one attribute or field called class .Hyperbox should be created using that attribute (class). For example PID data set contain 9 attribute but the last attribute called Class as field name is specified in PID.name file. Hyperbox will be created for that class.