Ting-Hua Chang

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In the past, the choices of b values to be applied to find the b-reducts in VPRS for an information system are somewhat arbitrary. In this study, a systematic method which bridges the fuzzy set methodology and probabilistic approach of RS to solve the threshold value b determination problem in variable precision rough sets (VPRS) is proposed. Different from(More)
A Rough Set (RS) based dataset reduction method using SWARM optimization algorithm and a cluster validation function is proposed. In the proposed approach, the user specifies the classification quality required in advance, and the method then finds the attribute reducts and perform attribute discretization to satisfy the desired quality of classification.(More)
This study presents a simple, fast, accurate, and expandable algorithm with very few parameters for solving global optimization problem of continuous multimodal functions ¡V a calculation unit called cell based on Genetic Algorithm and Particle Swarm is designed. the cell consists of only three chromosomes, among which two of the chromosomes apply(More)
This study presents a simple, fast, accurate, and expandable algorithm with very few parameters for solving global optimization problem of continuous multimodal functions - a calculation unit called cell based on Genetic Algorithm and Particle Swarm is designed. The cell consists of only three chromosomes, among which two of the chromosomes apply crossover(More)
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