Application Of Fuzzy C-Means Clustering And Particle Swarm Optimizationto Improve Voice Traffic Forecastingin Fuzzy Time Series

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Chapter One

INTRODUCTION
This chapter introduces the Application Of Fuzzy C-Means Clustering And Particle Swarm Optimizationto Improve Voice Traffic Forecastingin Fuzzy Time Series and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis…

Chapter Two

LITERATURE REVIEW
This section presents a review of related literature that supports the current research on the Application Of Fuzzy C-Means Clustering And Particle Swarm Optimizationto Improve Voice Traffic Forecastingin Fuzzy Time Series, systematically identifying documents with relevant analyzed information to help the researcher understand existing knowledge, identify gaps, and outline research strategies, procedures, instruments, and their outcomes…

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