Combining Fuzzy AHP and Fuzzy TOPSIS with Financial Ratios to Design a Novel Performance Evaluation Model

Financial performance evaluation is a very crucial process for industries in current highly competitive environment. Therefore, designing an accurate and appropriate performance evaluation framework is beneficial for insiders and also shareholders of a company. To evaluate financial performance, we need to consider some financial indicators that reflect the competitiveness of a company. There are many financial indicators and criteria that are vague and can be regarded as a fuzzy multiple criteria decision-making (MCDM) problem. In this paper, we developed a new financial performance evaluation framework to rank the companies in Iranian petrochemical industry based on fuzzy MCDM approach. To achieve this aim, firstly, the main criteria are identified by comprehensive literature review and experts’ opinion. Then, a hierarchical financial performance evaluation model is structured using main financial criteria and their sub-criteria. We used fuzzy analytic hierarchy process to determine the weights of the criteria. Then companies are ranked using fuzzy AHP and fuzzy TOPSIS comparatively. The results indicate that the obtained ranks of the companies by these methods are almost the same with respect to their own sectors.

[1]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[2]  Woo Gon Kim,et al.  An investigation of the mean reversion of hospitality stock prices towards their fundamental values: The case of Taiwan , 2007 .

[3]  Frank J. Fabozzi,et al.  Equity Analysis Using Traditional and Value‐Based Metrics , 2008 .

[4]  Alessio Ishizaka,et al.  Calibrated fuzzy AHP for current bank account selection , 2013, Expert Syst. Appl..

[5]  Hsuan-Shih Lee,et al.  Generalizing TOPSIS for fuzzy multiple-criteria group decision-making , 2007, Comput. Math. Appl..

[6]  Amrik Sohal,et al.  Quality management approaches and their impact on firms׳ financial performance – An Australian study , 2016 .

[7]  Gwo-Hshiung Tzeng,et al.  DRSA-Based Neuro-Fuzzy Inference Systems for the Financial Performance Prediction of Commercial Banks , 2014 .

[8]  Mary Anne Devanna,et al.  The Portable MBA , 1989 .

[9]  Ksenija Mandic,et al.  Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods , 2014 .

[10]  Chia-Chi Sun,et al.  A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods , 2010, Expert Syst. Appl..

[11]  Yi-Hsuan Chen,et al.  A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard , 2009, Expert Syst. Appl..

[12]  Jerry J. Weygandt.  Accounting Principles , 1996 .

[13]  Jun Guo,et al.  Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS , 2011, Expert Syst. Appl..

[14]  Chian-Son Yu,et al.  A GP-AHP method for solving group decision-making fuzzy AHP problems , 2002, Comput. Oper. Res..

[15]  Hepu Deng.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[16]  D. Chang.  Applications of the extent analysis method on fuzzy AHP , 1996 .

[17]  A. Ehrbar.  Using EVA to measure performance and assess strategy , 1999 .

[18]  Joseph C. Hartman,et al.  ON THE EQUIVALENCE OF NET PRESENT VALUE AND MARKET VALUE ADDED AS MEASURES OF A PROJECT'S ECONOMIC WORTH , 2000 .

[19]  John Leslie Livingstone,et al.  The Portable MBA in Finance and Accounting , 2002 .

[20]  Angus Deaton,et al.  Franco Modigliani and the Life Cycle Theory of Consumption , 2005 .

[21]  Zhifu Tao,et al.  A Generalized Multiple Attributes Group Decision Making Approach Based on Intuitionistic Fuzzy Sets , 2014 .

[22]  Jeffrey P. Katz,et al.  Wealth creation and managerial pay: MVA and EVA as determinants of executive compensation , 2003 .

[23]  Cengiz Kahraman,et al.  Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries , 2012, Expert Syst. Appl..

[24]  E. Ertugrul Karsak,et al.  An integrated fuzzy MCDM approach for supplier evaluation and selection , 2015, Comput. Ind. Eng..

[25]  Changiz Valmohammadi,et al.  The guidelines of improvement: Relations among organizational culture, TQM and performance , 2015 .

[26]  K. Krishna Kumar,et al.  Economic value added (EVA)-A financial performance measure , 2013 .

[27]  Mao-Jiun J. Wang,et al.  Personnel selection using fuzzy MCDM algorithm , 1994 .

[28]  Clyde P. Stickney,et al.  Financial Reporting and Statement Analysis: A Strategic Perspective , 1995 .

[29]  William H. Beaver,et al.  What Determines Price-Earnings Ratios? , 1978 .

[30]  J. Hall,et al.  The Relationship between EVA, MVA and Leverage , 2003 .

[31]  Yu-Jie Wang,et al.  Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan , 2008, Expert Syst. Appl..

[32]  Tien-Chin Wang,et al.  Applying consistent fuzzy preference relations to partnership selection , 2007 .

[33]  Jonathan R. Peters,et al.  An Interindustry Analysis of Economic Value Added as a Proxy for Market Value Added , 2001 .

[34]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[35]  M J McCue,et al.  Financial characteristics of hospitals purchased by investor-owned chains. , 1986, Health services research.

[36]  Alev Taskin Gumus,et al.  Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..

[37]  D. M. Priyantha Wedagama,et al.  APPLYING FUZZY ANALYTIC HIERARCHY PROCESS (FAHP) a-CUT BASED AND TOPSIS METHODS TO DETERMINE REGENCIAL ROAD HANDLING PRIORITY (Case Study: Badung Regency - Bali) , 2012 .

[38]  Chia-Chi Sun,et al.  Using fuzzy TOPSIS method for evaluating the competitive advantages of shopping websites , 2009, Expert Syst. Appl..

[39]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[40]  Gwo-Hshiung Tzeng,et al.  Environmental Strategic Orientations for Improving Green Innovation Performance in Fuzzy Environment - Using New Fuzzy Hybrid MCDM Model , 2013 .

[41]  Irfan Ertugrul,et al.  Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods , 2009, Expert Syst. Appl..

[42]  Meysam Shaverdi,et al.  Combining Fuzzy MCDM with BSC Approach in Performance Evaluation of Iranian Private Banking Sector , 2011, Adv. Fuzzy Syst..

[43]  P. Healy,et al.  Business analysis and valuation : using financial statements , 2010 .

[44]  Saeed Fallahi,et al.  Prediction of Stock Price of Iranian Petrochemical Industry Using GMDH-Type Neural Network and Genetic algorithm , 2012 .

[45]  Rezvan Hejazi,et al.  THE INFORMATION CONTENT OF CASH VALUE ADDED (CVA) AND P/E RATIO: EVIDENCE ON ASSOCIATION WITH STOCK RETURNS FOR INDUSTRIAL COMPANIES IN THE TEHRAN STOCK EXCHANGE , 2007 .

[46]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[47]  James L. Dodd,et al.  Economic Value Added (EVA Super TM): An Empirical Examination of a New Corporate Performance Measure , 1997 .

[48]  Mária Ďurišová,et al.  Evaluation of Financial Performance of Enterprises in IT Sector , 2015 .

[49]  E. F. Brigham,et al.  Financial Management: Theory and Practice , 1990 .

[50]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .