Based on Rough Set Machine Learning of WLC Estimation Method

晨光 景
2013 Software Engineering and Applications  
In this paper, rough set theory in knowledge discovery on the superiority of the combination of machine learning theory to the actual sample quantities, for example, the uncertainty of the historical data under the influence of life cycle cost estimation problem. In the light of the specific examples based on rough sets is given from the modeling, the effective data screening to decision rules generation, life cycle cost of the final results obtained the complete estimation process. This paper
more » ... rocess. This paper attempts to estimate life cycle cost of the introduction of rough set theory of machine learning, data from a large number of experimental works of the most influential factors in selection, the decision attribute and condition of maintaining the dependencies between attributes does not change the premise, according to engineering knowledge base to find the equivalence relations between the redundancy to simplify the decision table, to ensure that their classification ability, reduction factor out the weak links, and finally to study rough set decision rules are implemented cost forecast. Confusion matrix by cross-validation showed that the application of rough set theory under the influence of data uncertainty to resolve the full life cycle cost estimate is feasible.
doi:10.12677/sea.2013.22009 fatcat:25sgb6wkenfd5f3mpwetzdnhmy