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 . |
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