Nanotechnology-Based Sensitive Biosensors for COVID-19 Prediction Using Fuzzy Logic Control

Algorithm 1

FDT algorithm.

Inputs: membership function, training data, threshold value.

  Membership function is set as unity.

  Generate root node using fuzzy set.

  For a node ().

    Check if the end criteria is reached,

      Assume the existence of a leaf .

       Mark the record N belongs to a class is labelled.

    Else if end criteria is not reached, then,

      Estimate the .

      Estimate maximum .

      Find child nodes.

    End.

  End