The Comparison of fuzzy and crisp classification trees using gini index, chi-square statistic and the gain ratio Complete Project Material (PDF/DOC)
1.0 INTRODUCTION
This chapter introduces the Comparison of fuzzy and crisp classification trees using gini index, chi-square statistic and the gain ratio and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis.
2.0 LITERATURE REVIEW
2.1 Introduction
The chapter presents a review of related literature that supports the current research on the Comparison of fuzzy and crisp classification trees using gini index, chi-square statistic and the gain ratio, 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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