Hesitant Fuzzy k-Nearest Neighbour (HFK-NN) Classifier for Document Classification and Numerical Result Analysis

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
This paper presents new approach Hesitant Fuzzy K-nearest neighbour (HFK-nn) based document classification and numerical results analysis. The proposed classification Hesitant Fuzzy K-nearest neighbour (HFK-nn) approach is based on hesitant Fuzzy distance. In this paper, the authors have used hesitant Fuzzy distance calculations for document classification results. The following steps are used for classification: data collection, data pre-processing, data selection, presentation, analysis, classification process and results. The experimental results are evaluated using MATLAB 7.14. The Experimental Results show proposed approach that is efficient and accurate compare to other classification approach.

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