The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
The goal of any clustering algorithm is to find the optimal clustering solution with the optimal number of clusters. In order to evaluate a clustering solution, a number of validit...
— this paper proposes a distributed routing protocol for ad hoc sensor networks which uses Fuzzy Logic. Each sensor uses a Fuzzy decision making process to find the best Cluster ...
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...