  In this new and current era of technology, advancements and techniques,
efficient and effective text document classification is becoming a challenging
and highly required area to capably categorize text documents into mutually
exclusive categories. Fuzzy similarity provides a way to find the similarity of
features among various documents. In this paper, a technical review on various
fuzzy similarity based models is given. These models are discussed and compared
to frame out their use and necessity. A tour of different methodologies is
provided which is based upon fuzzy similarity related concerns. It shows that
how text and web documents are categorized efficiently into different
categories. Various experimental results of these models are also discussed.
The technical comparisons among each model's parameters are shown in the form
of a 3-D chart. Such study and technical review provide a strong base of
research work done on fuzzy similarity based text document categorization.
