1.1 Introduction
In this section, Application of Fuzzy C-Means Clustering and Particle Swarm Optimizationto Improve Voice Traffic Forecastingin Fuzzy Time Series is discussed, with relevant and recent citations. As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the aim and objectives of the study. Others are significance of the study, scope of work, research hypothesis and questions, limitation of the study and definition of terms.
1.4 Aim and Objectives of the Study
The main aim of this research is to forecast the Application of Fuzzy C-Means Clustering and Particle Swarm Optimizationto Improve Voice Traffic Forecastingin Fuzzy Time Series. In achieving this aim, the following specific objectives were laid out as follows:
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