A Fuzzy GTMA to Check the Financial Proficiency of NBFCs in India

Vol-2 \| Issue-9 \| September 2017 \| Published Online: 15 September 2017 PDF
Author(s)
Subhadip Bhattacharya ¹; Dr. Ramesh Prasad Sharma ²
¹Department of Mathematics, Janardan Rai Nagar Rajasthan Vidyapeeth (Deemed to be University), Rajasthan, India ²Department of Mathematics, Janardan Rai Nagar Rajasthan Vidyapeeth (Deemed to be University), Rajasthan, India
Abstract
Industry 5.0 fosters human well-being and domestic macro-economic growth through micro-economic development. National growth depends on NBFCs. Industry 5.0 may be like how NBFCs provide basic financial support and invest utilising cutting-edge technologies. Indian NBFCs grew fast following demonetisation in 2016. In customer service and funding, NBFCs surpass state banks. Naturally, NBFCs' financial success counts. Today, NBFCs must track financial performance to compete. Financial factors are used to rank the six NIFTY NBFCs listed on the NSE, India. Six NBFCs' financial performance is examined using seven financial variables and two MCDM methods. Triangular Fuzzy Number (TFN), Logarithmic Fuzzy Preference Programming (LFPP), Fuzzy Graph Theory and Matrix Approach (FGTMA) weight criteria and measure NBFC financial performance respectively. Muthoot Finance and Cholamandalam Investment & Finance are stable following Bajaj.
Keywords
Industry 5.0, NBFCs, Financial Indicators, MCDM, TFN, LFPP, FGTMA.
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