Classification of excessive domestic water consumption using Fuzzy Clustering Method

[摘要] Demand for clean and treated water is increasing all over the world. Therefore it is crucial to conserve water for better use and to avoid unnecessary, excessive consumption or wastage of this natural resource. Classification of excessive domestic water consumption is a difficult task due to the complexity in determining the amount of water usage per activity, especially as the data is known to vary between individuals. In this study, classification of excessive domestic water consumption is carried out using a well-known Fuzzy C-Means (FCM) clustering algorithm. Consumer data containing information on daily, weekly and monthly domestic water usage was employed for the purpose of classification. Using the same dataset, the result produced by the FCM clustering algorithm is compared with the result obtained from a statistical control chart. The finding of this study demonstrates the potential use of the FCM clustering algorithm for the classification of domestic consumer water consumption data.

[发布机构] Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Seremban Campus, Seremban, Negeri Sembilan; 70300, Malaysia^1

[效力级别] 数学

[关键词] Domestic water;Fuzzy c-means clustering algorithms;Fuzzy clustering method;Statistical control charts;Water consumption;Water usage