Knowledge gained through classification of microarray gene expression data is increasingly
important as they are useful for phenotype classification of diseases. Different from black box
methods, fuzzy expert system can produce interpretable classifier with knowledge
expressed in terms of if-then rules and membership function. This paper proposes a novel
Genetic Swarm Algorithm (GSA) for obtaining near optimal rule set and membership function
tuning. Advanced and problem specific genetic operators are proposed to improve the …