著者

Sope Devi Fujio Mitsuhiko

出版者

電気・情報関係学会九州支部連合大会委員会

雑誌

電気関係学会九州支部連合大会講演論文集

巻号頁・発行日

vol.2018, pp.256, 2018

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<p>Fuzzy C-Means (FCM) is a popular method used in clustering. FCM is enhanced with an evolutionary algorithm called Particle Swarm Optimization (PSO) to avoid local optimal problem. On the other hand, Xie Beni Index (XBI) is used for evaluating the quality of clustering by measuring both of cluster compactness by intra-cluster deviation and separateness by inter-cluster pairwise distance of centers. In this paper we propose a new method in FCMPSO by minimizing XBI to evaluate the temporary solution. The result shows that our new method can improve the quality of clustering.</p>

著者

Sope Devi Rahmah 藤尾 光彦

出版者

電気・情報関係学会九州支部連合大会委員会

雑誌

電気関係学会九州支部連合大会講演論文集

巻号頁・発行日

vol.2017, pp.79-80, 2017

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<p>Electricity Prepaid is a new customer service of Indonesian national electric company PLN. In CRM, it is said that analyzing the customer's behavior is the most efficient way to enhance their satisfaction. In this research, we apply Fuzzy c-Means (FCM) algorithm to the house hold customer data of PLN to cluster the customer behavior. We employ XB index to validate the clustering result. As a result, we conclude that attributes of household customer are more accurate if they are clustered into 4 clusters, while in number of family member attribute is more accurate if clustered into 5 clusters.</p>