Fuzzy ID3 Decision Tree Approach for Network Reliability Estimation
Momtaz Thingujam · 2012
The Computer communication networks have been rapidly increasing recently to share expensive hardware and software resources, and provide access to main system from distant locations. The reliability and the cost of these systems are important considerations that are largely determined by placement of the nodes and the links between nodes. Network Reliability Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any network system. In this study, we investigate the use of Fuzzy ID3 decision tree for network reliability estimation; it is designed by integrating the principles of ID3 decision tree and the fuzzy settheoretic concepts, enabling the model to handle uncertain and imprecise data when describing the reliabilities of the networks, which can improve greatly the accuracy of obtained estimates. MMRE is used as measures of prediction accuracy for this study. The results are compared with those produced by the crisp version of the ID3 decision tree.