Abstract
Clustering is one of the method of data analysis. Rough k-means (RKM) by Lingras et al. is one of rough clustering algorithms[3]. The method doesn’t have a clear indicator to determine the most appropriate result because it is not based on any objective functions. Therefore, a rough clustering algorithm based on optimization of an objective function was proposed[6]. This paper will propose a new rough clustering algorithm based on optimization of an objective function with fuzzy-set representation to obtain better lower approximation and estimate the effectiveness through some numerical examples.
