Separating successful and unsuccessful firms using multiple attribute decision-making methods

Due to less efficiency in Tehran Stock Market, the common methods employed for ranking firms are not reliable enough. In this paper, combined decision-making models are presented which can evaluate the companies' financial performance by means of financial ratios. One of the considered approaches is based on 'analytical hierarchy process (AHP)' and 'technique for order preference by similarity to ideal solution (TOPSIS)' and the other one, which is proposed similarly in this paper, is based on 'fuzzy analytical hierarchy process (FAHP)' and 'TOPSIS'. Comparisons of these methods would specify the similarities or differences between them and also examine the superiority of FAHP over AHP which is widely accepted as the result of using fuzzy numbers. These methods were applied for ranking and evaluating financial performances of cement firms in Tehran Stock Exchange using their financial tables from 2002 to 2008. Eventually through statistical tests, the results obtained from these methods and their powers were compared.

[1]  Ying-Ming Wang,et al.  Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment , 2006, Expert Syst. Appl..

[2]  Da Ruan,et al.  Fuzzy group decision-making for facility location selection , 2003, Inf. Sci..

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

[4]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

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

[6]  Ming-Chyuan Lin,et al.  Using AHP and TOPSIS approaches in customer-driven product design process , 2008, Comput. Ind..

[7]  Mustafa Yurdakul,et al.  Türk Otomotiv Firmalarının Performans Ölçümü Ve Analizine Yönelik Topsıs Yöntemini Kullanan Bir Örnek Çalışma , 2003 .

[8]  João Paulo Davim,et al.  A decision-making framework model for material selection using a combined multiple attribute decision-making method , 2008 .

[9]  Cheng F. Lee.  Financial analysis and planning : theory and application , 1985 .

[10]  M. Serhan Sekreter,et al.  Şirketlerin Derecelendirilmesine İlişkin Bir Model Önerisi : Gıda Sektörüne Yönelik Bir Uygulama , 2004 .

[11]  J. Courtis.  MODELLING A FINANCIAL RATIOS CATEGORIC FRAMEWORK , 1978 .

[12]  Metin Dağdeviren,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..

[13]  E. Stanley Lee,et al.  An extension of TOPSIS for group decision making , 2007, Math. Comput. Model..

[14]  Wei-Chih Wang,et al.  AHP- and simulation-based budget determination procedure for public building construction projects , 2008 .

[15]  Stelios H. Zanakis,et al.  Multi-attribute decision making: A simulation comparison of select methods , 1998, Eur. J. Oper. Res..

[16]  Sheng-Hshiung Tsaur,et al.  The evaluation of airline service quality by fuzzy MCDM. , 2002 .

[17]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[18]  Rifat Gürcan Özdemir,et al.  A Fuzzy AHP Approach to Evaluating Machine Tool Alternatives , 2006, J. Intell. Manuf..

[19]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[20]  Manoj Kumar Tiwari,et al.  Global supplier selection: a fuzzy-AHP approach , 2008 .

[21]  Juan Manuel Campos Benítez,et al.  Using fuzzy number for measuring quality of service in the hotel industry , 2007 .

[22]  Pedro Araujo,et al.  Statistical power and analytical quantification. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[23]  Ilker Akgun,et al.  A multi-methodological approach for shipping registry selection in maritime transportation industry , 2009, Math. Comput. Model..

[24]  Yu-Hern Chang,et al.  PERFORMANCE EVALUATION OF INTERNATIONAL AIRPORTS IN THE REGION OF EAST ASIA , 2003 .

[25]  Cengiz Kahraman,et al.  Operating system selection using fuzzy replacement analysis and analytic hierarchy process , 2005 .

[26]  Sushil Kumar,et al.  Analytic hierarchy process: An overview of applications , 2006, Eur. J. Oper. Res..

[27]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[28]  Paul Barnes,et al.  The Analysis and Use of Financial Ratios: A Review Article , 1987 .

[29]  j Fredweston.  Essentials Of Managerial Finance , 1974 .

[30]  F. Chan,et al.  Global supplier development considering risk factors using fuzzy extended AHP-based approach , 2007 .

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

[32]  R. Charles Moyer,et al.  Contemporary Financial Management , 1981 .

[33]  Cengiz Kahraman,et al.  Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey , 2004 .

[34]  G. Liang,et al.  Application of a fuzzy multi-criteria decision-making model for shipping company performance evaluation , 2001 .

[35]  Emel Laptali Oral,et al.  Industry financial ratios—application of factor analysis in Turkish construction industry , 2007 .