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

A technical study and analysis on fuzzy similarity based models for text classification