Research Article

δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions

Algorithm 2

Genetic algorithm for attribute reduction based on cost minimum criterion.
Input: Decision system , threshold ;
Output: A optimal cost reduct .
Step  1. Create an initial random population (number 40);
Step  2. Evaluation the population;
Step  3.   While Number of generations 100 do
    Select the fittest chromosomes in the population;
    Perform crossover on the selected chromosomes to create offspring;
    Perform mutation on the selected chromosomes;
    Evaluate the new population;
   End
Step  4. Selected the fittest chromosome form current population and output it as .