Volume 66 | Issue 12 | Year 2020 | Article Id. IJMTT-V66I12P521 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I12P521
C. Loganathan, M. Annakkodi, S. Rangasamy, "Evaluation of Financial Performance using Fuzzy Techniques," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 12, pp. 157-160, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I12P521
[1] Feldman.K, and Treleavan.P, Intelligent Systems in Finance, Applied Mathematical Finance. 1(2) (1994) 195-207.
[2] Gallizo.L, Jose and Salvador, Understanding the behavior of Financial Ratios, Faculty of Economics, British Library Cataloguing in Publication Data. (2001) 5-73.
[3] Lambovska.M and Marche.A.J, A Fuzzy Approach for Expert Evaluation of Investment portfolios, Ekonomskihorizonti. 13(2) (2011) 5-23.
[4] Loganathan.C, Annakkodi.M and Rangasamy.S, Fuzzy Clustering Analysis of Selected IT Companies in India, Intenational Journal of Mathematics and its Applications. 10 (2017) 41 – 47.
[5] Murphy.J, Technical analysis of the Financial Market, Newyork Institute of Finance. (1999) 15-40.
[6] Fahami.N.A, Azhar.F.W, Abd Rahim.Z.H and Abd Karim.H, Application of Fuzzy Logic Approach in Financial Performance Evaluation: A case Study of Consumer Product Sector in Malaysia. 2(4) (2015) 141-145.
[7] Othman.M, Fahami.N.A, and Mutalib.H.A, 2010, Financial Performance Evaluation of Companies using Fuzzy Logic Approach: A Case Study of properties Sector in Malaysia, Proceedings of Internatioal Conference on Global Business Environment, Bangkok, Thailland. (2015) 140-143.
[8] Othman.M, Loubeau. P.R and Rosli.A, Financial Performance evaluation of Companies using Fuzzy Logic Approach: A Case Study of Healthcare Companies in the USA, International Conference on Management, Economics and Finance Proceeding, Kuching, Sarawak. (2012) 52-62.
[9] Tavakkoli.M, Jamali. A and Ebrahimi.A, New Method to Evaluate Financial Performance of Companies by Fuzzy Logic: Case Study, Drug Industry of Iran, Asia Pacific Journal of Finance and Banking Research. 4(4) (2010) 15-24.
[10] Yalcin.N, Bayrakdaroglu.A and Kahraman.C, Application of Fuzzy Multi-Criteria Decision Making Method For financial Performance Evaluation of Turkish Manufacturing Industries, Expert System With Application. 29 (2012) 350-364.
[11] Zadeh.L, Fuzzy Sets , Information and Control. 8 (1965) 338-358.