The Use of Fuzzy, Neural Network, and Adaptive Neuro-Fuzzy Inference System (ANFIS) to Rank Financial Information Transparency

Document Type : Original Article


1 PhD candidate, Department of Accounting, Kashan Branch, Islamic Azad University, Kashan, Iran

2 Associate Professor, Department of Accounting, Kashan Branch, Islamic Azad University, Kashan, Iran


Ranking of a company's financial information is one of the most important tools for identifying strengths and weaknesses and identifying opportunities and threats outside the company. In this study, it is attempted to examine the financial statements of companies to rank and explain the transparency of financial information of 198 companies during 2009-2017 using artificial intelligence and neural, fuzzy and neural-fuzzy network models. Accordingly, the best method to rank financial information transparency is selected. For this purpose, the information about companies in different industries is first sorted using the corporate financial statements in Excel software and then, the ranking of companies in each industry is determined on a scale of 1 to 5 in terms of financial and technical strength in the form of a diagram. In order to rank companies with artificial intelligence, the information obtained has been entered into Matlab software and neural, fuzzy and neural-fuzzy models are then implemented. After reviewing descriptive statistics and Fisher's test, companies are ranked. According to the results of the research, the best method for ranking is the neural method and the neural-fuzzy method. The results of the neuro-fuzzy method with 0.01 distance from the results of the neural method provide the best results after the results of the neural method. But in the fuzzy method, the ranking is far from the intended results and is not suitable for ranking of financial information.


  • Ahmed, K. and Courtis, J. K. Associations between corporate characteristics and disclosure levels in annual reports: a meta-analysis. British Accounting Review,1999, Vol. 31, Pp. 35–61.0.1006/bare.1998.0082.
  • Aksu, M. Kosedag, A. Transparency and disclosurescores scores and their determinants in Istanbul stoch exchaneg.Corporate Governance, 2006, 4,14,277-296, 10.1111/j.1467-8683.2006.00507.x.
  • Alimohammadi, A. M., Abbasimehr, M. H., Javaheri, A. Prediction of Stock Return Using Financial Ratios: A Decision Tree Approach, Journal of Financial Management Strategy,2015. Third Year, 11th Issue, pp. 129-151.
  • Alsaeed, K. The association between firm-specific characteristics and disclosure: the case of Saudi Arabia. Journal of American Academy of Business,2005. Vol. 7, No. 1, Pp. 310-321. 1108/02686900610667256.
  • Botosan, C.A. Disclosure level and the cost of capital.The Accounting Review. 1997. 72(3),323-49.
  • Cheung,W.M.,andKaymak,U. Afuzzylogicbasedtradingsystem.InProceedingsofthethirdeuropean symposium on nature in spired smart information systems ,07.St.Julians, Malta.2013.
  • Cooke, T. E. Cofferman, K. An analysis in the annual reports of UK and Dutch companies. Iournal of international accounting research,2002. 1, Pp. 3-3. 10.2308/jiar.2002.1.1.3.
  • Delen, D., Kuzey, C. and A. Uyar. Measuring Firm Performance Using Financial Ratios: A Decision Tree Approach. Expert Systems with Applications, 2013, Vol. 40, No. 10. Pp. 3970-3983.10.1016/j.eswa.2013.01.012.
  • Ghodratian Kashan, S. A., Anvari Rostami, A. A. Designing a Concise Model of Performance Assessment and Firms' Ranking, Modarres Quarterly Journal of Humanities, 2004, 8th Issue, pp. 109-136.
  • Hajian, N. Providing Information Transparency Rating Index for Iranian Firms, Journal of New Researches in Accounting and Auditing,2004, 1(3), 9-38
  • Kaufmann, Daniel and Bellver, Ana. Transparenting Transparency: Intial Empirics and Policy Applications, September 2005.10.2139/ssrn.808664.
  • Lang, M. H. Lundholm, R. Crosssectional determinants of analyst ratings of corporate disclosures. Journal of Accounting Research,1993,  31, No. 2, Pp. 246–271. 10.2307/2491273.
  • Mashayekh, S., Shahrokhi, S. Identifying Determinants of Corporate Credit Rating, 2016, 5(19), 25-52
  • Namazi, M., Namazi, N. Ranking Firms Based on the Performance Evaluation Criteria via the Multiple Attribute TOPSIS Technique and Comparing Evaluation Criteria (Evidence from Companies Listed in Tehran Stock Exchange), Financial Accounting Researches,2016, 39(20), 8-64
  • Raei, H., Khoshtinat, M. The Impact of Providing Social Accounting Information on Investors' Decision Making, Journal of Accounting and Auditing Reviews,2004, 37th Issue, p. 73-92
  • Rahmani, A., Alahdad, A. Relationship between Transparency and Disclosure with Corporate Size, Accounting Journal,2011,  3rd Issue
  • Samadi, H., Khoshtinat, M. The Impact of Providing Social Accounting Information on Investors' Decision Making, Journal of Accounting and Auditing Reviews, 2004, 37th Issue, p. 35.
  • Tansel, Y. andYardakul, M. Development of a quick credibility scoring decision support system using fuzzy TOPSIS. Expert Systems with Applications,2010. 37, 567–574. 10.1016/j.eswa.2009.05.038.
  • Wallace, R. S. O. Naser, K. Firmspecific determinants of comprehensiveness of mandatory disclosure in the corporate annual reports of firms listed on the stock exchange of Hong Kong, Journal of Accounting and Public Policy,1995 14, No.56 4, Pp. 311–368.10.1016/0278-4254(95)00042-9.
  • Pakdin Amiri, M., Pakdin Amiri, M., Pakdin Amiri, A. (2008). Prioritization of financial factors affecting the price index in Tehran Stock Exchange using TOPSIS method. Financial Research, 10 (26).
  • Tajvidi, E. (2008). Transparency and efficiency of the capital market. Accountant Monthly Journal, 196.
  • Hajian, N. (2017). Providing information performance ranking index for Iranian companies. Recent Research in Accounting and Auditing, 1(4): 9-38.
  • Hajiha, Z. and Oradi, J. (2018). Investigating the effect of information performance on the relationship between family ownership and debt cost. Investment Knowledge, 7(26): 83-98.
  • Hasas Yeganeh, Y., Behshour, E., Shokri Kiani, M. (2018). Relationship between financial reporting performance and effective tax rates. Financial Accounting and Auditing Research, 10(10): 1-30.
  • Khaleghi Moghadam, H. and Khalegh, A. (2008). Corporate transparency in Iran and the factors affecting it. Empirical Studies in Financial Accounting, 6 (21): 31-60.
  • Khaleghi Moghadam, H. and Khalegh, A. (2007). Company performance in Iran and the factors affecting it. Doctoral dissertation, Allameh Tabatabai University.
  • Danesh Shakib, M. and Fazli, S. (2009). Ranking of Tehran Stock Exchange Cement Companies withAHP-TOPSIS Combined Approach.Management Vision Magazine, 9(32): 109-129.
  • Executive instructions for disclosing information of companies registered with the organization. Approved (2007) by Securities Market Rules and Regulations. Publications of the Stock Exchange and Securities Organization.
  • Ranking of companies listed on the Tehran Stock Exchange in terms of quality of disclosure and appropriate information, comprehensive information system for publishers.
  • Rahmani, A. andLah Dad, O. (2011). Relationship between transparency and disclosure with company size. Accounting Research, 1(3), -. doi: 10.22051 / ijar.2013.447
  • Sepasi, S. and Ghasemi, F. (2017). Identification and ranking of factors affecting the implementation of continuous audit using decision technique. Accounting and Auditing Research (Accounting Research):9(33): 56-73.
  • Soleimani Amiri, Gh. (2002) A Study of Bankruptcy Prediction Indicators in Iran's Environmental Conditions. PhD Thesis in Accounting, University of Tehran.
  • Ghorsi, Z. (2011). Credit Ranking of Bank Mellat Legal Clients Using GMDH Neural Networks and Econometric Equations. University of Tehran.
  • Gholizadeh, M.H. (2004). Designing a ranking model of companies listed on the Tehran Stock Exchange using data envelopment analysis (Case of food and beverage industry). PhD thesis in financial management, Faculty of Management, University of Tehran.
  • Kurdestani, Gh. andAlavi, S.M.(2010). The effect of accounting profit performance on the cost of ordinary stock capital. Stock Exchange Quarterly. Issue 12.
  • Kamali Ardakani, M., Nazemi Ardakani, M., and Moinuddin, M. (2019). Identifying and ranking the factors affecting the quality of online financial reporting on the website of companies listed on the Tehran Stock Exchange. Applied Research in Financial Reporting, 8 (2): 87-115.
  • Mashayekh, Sh. and Shahrokhi, S.S. (2016). Identifying the indicators that determine the credit rating of companies. Investment Knowledge, 5(19): 25-52.
  • Namazi, M. and Namazi, N.R. (2016). Ranking of companies based on performance evaluation metrics using TOPSIS multi-criteria technique and comparison of evaluation criteria (Evidence from Tehran Stock Exchange). Financial Accounting Research,39(2):8-64.