The effect of parameter setting on classification of domestic water consumption using simplified Fuzzyqsba

Abstract

Water is essential in human daily life and it is renewable. However, the resources of water are reducing due to climate and other factors. Hence many researches were conducted to predict the water consumption and applying many different approaches to solve this problem. Therefore the aim of this research is to enhance an existing method for producing a better and reliable technique with more accurate results. The proposed method is FuzzyQSBA and the parameter settings of the membership function are manipulated to investigate its effect on the accuracy of the method. Here, simplified FuzzyQSBA is used for the classification of domestic water. There are four different parameter settings, the performances of each setting are compared and it shows that parameter setting does effects the final results. Next, the result of the best parameter setting is then compared with other existence fuzzy method using a software name WEKA. Results claimed that the proposed method is compatible with other method in terms of it accuracy.