3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.NE2007★ 1 cited
Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis
Bodie Crossingham, Tshilidzi Marwala
In this paper, we present a method to optimise rough set partition sizes, to which rule extraction is performed on HIV data. The genetic algorithm optimisation technique is used to…
cs.AI2007★ 1 cited
Bayesian Approach to Neuro-Rough Models
Tshilidzi Marwala, Bodie Crossingham
This paper proposes a neuro-rough model based on multi-layered perceptron and rough set. The neuro-rough model is then tested on modelling the risk of HIV from demographic data. Th…
cs.AI2007★ 3 cited
Bayesian approach to rough set
Tshilidzi Marwala, Bodie Crossingham
This paper proposes an approach to training rough set models using Bayesian framework trained using Markov Chain Monte Carlo (MCMC) method. The prior probabilities are constructed…