Using of Fuzzy Logic Matching Algorithm for Hindi Dataset

Abstract

Various new computing methods based on Fuzzy Logic can be used in various systems. Numerous researchers and developers are working with Fuzzy Logic and its Applications. One such application is applied on the dataset which contains the values in Hindi Language; the major problem is that data come from different sources and when do the merge operation it will create a lot of problem; since same names are represented by different ways of writing it. Here, we apply a technique of fuzzy matching algorithm for hindi dataset. We are applying for the project of sharing bike concept which comes from different data sources. Fuzzy Logic is a very promising mathematical approach for training the dataset which being characterized by subjectivity & imprecision. More emphasis is put on the fuzzy string matching and its criteria for the performing the merge operation. This paper presents an analysis of the results achieved using fuzzy logic to model the dataset. Assessing the performance of datasets after performing matching algorithm at different levels using traditional methods.