CHANGING TRENDS OF PREFERENCES IN MODE OF TRANSACTIONS-A PREDICTION USING ROUGH SET THEORY

Preethi M.

Abstract


Rough Set Theory is a new technique that deals with fuzziness and improbability stressed in decision making. Data mining is a discipline that has an important contribution to data analysis, discovery of new significant knowledge, and independent decision making. The rough set theory offers a feasible approach for decision rule extraction from data. The introduction of demonetisation resulted in elimination of high valued currency notes. It aimed to achieve the goal of a ‘less cash’ society. Digital trades bring in better scalability and responsibility. Recently RBI has also disclosed its document- “Payments and Settlement Systems in India: Vision 2018” boosting the electronic payments and to help INDIA grow from cash to cashless society in the long run. Thus giving this model an overlook, this paper focuses on studying the views of people on evolution of cashless economy and their comfort level with it. The study was conducted in Chennai; data was collected with the help of organised questionnaire and analysed using rough set theory.

Keywords


Data mining, analysis, Rough Set Theory, cashless transaction, objects

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DOI: https://doi.org/10.26483/ijarcs.v9i0.5607

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