A Survey on Multi Criteria Decision Making Methods and Its Applications

Multi Criteria Decision Making (MCDM) provides strong decision making in domains where selection of best alternative is highly complex. This survey paper reviews the main streams of consideration in multi criteria decision making theory and practice in detail. The main purpose is to identify various applications and the approaches, and to suggest approaches which are most robustly and effectively useable to identify best alternative. This survey work also addresses the problem in fuzzy multi criteria decision making techniques. Multi criteria decision making have been applied in many domains. MCDM method helps to choose the best alternatives where many criteria have come into existence, the best one can be obtained by analyzing the different scope for the criteria, weights for the criteria and the choose the optimum ones using any multi criteria decision making techniques. This survey provides the comprehensive developments of various methods of FMCDM and its applications.

[1]  Antreas D. Athanassopoulos,et al.  The Use of Data Envelopment Analysis in Banking Institutions: Evidence from the Commercial Bank of Greece , 2000, Interfaces.

[2]  Yongsheng Ding,et al.  Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem , 2011, Expert Syst. Appl..

[3]  Ta-Chung Chu,et al.  Facility Location Selection Using Fuzzy TOPSIS Under Group Decisions , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[4]  H. Nikoomaram,et al.  Training Performance Evaluation of Administration Sciences Instructors by Fuzzy MCDM Approach , 2010 .

[5]  J. Buckley Ranking alternatives using fuzzy numbers , 1985 .

[6]  Gary D. Ferrier,et al.  Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods , 1998 .

[7]  W. Anderson,et al.  Bank Selection Decisions and Market Segmentation , 1976 .

[8]  S. K. Goyal,et al.  A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty , 2011, Math. Comput. Model..

[9]  Numan Çelebi,et al.  Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem , 2011, Expert Syst. Appl..

[10]  Doraid M. Dalalah,et al.  A fuzzy multi-criteria decision making model for supplier selection , 2011, Expert Syst. Appl..

[11]  Ferenc Szidarovszky,et al.  Revising the OWA operator for multi criteria decision making problems under uncertainty , 2009, Eur. J. Oper. Res..

[12]  Djamil Aïssani,et al.  Power customer satisfaction and profitability analysis using multi-criteria decision making methods , 2013 .

[13]  Yusuf Tansel Iç,et al.  Development of a quick credibility scoring decision support system using fuzzy TOPSIS , 2010, Expert Syst. Appl..

[14]  Yong Zhang,et al.  An incident information management framework based on data integration, data mining, and multi-criteria decision making , 2011, Decis. Support Syst..

[15]  Abdullah H. Aldlaigan,et al.  SYSTRA‐SQ: a new measure of bank service quality , 2002 .

[16]  Chen-Tung Chen,et al.  A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..

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

[18]  Chaweng Changchit,et al.  A multiobjective reservoir operation model with stochastic inflows , 1993 .

[19]  Mahammad Haghighi,et al.  The impact of 3D e-readiness on e-banking development in Iran: A fuzzy AHP analysis , 2010, Expert Syst. Appl..

[20]  Shuo-Yan Chou,et al.  A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes , 2008, Eur. J. Oper. Res..

[21]  Seyed Ali Jozi,et al.  Health- Safety and Environmental Risk Assessment of Refineries Using of Multi Criteria Decision Making Method , 2012 .

[22]  E. Ertugrul Karsak,et al.  Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches , 2011 .

[23]  W. Anderson,et al.  Bank Selection Decisions and Market Segmentation , 1976 .

[24]  Keivan Sadeghzadeh,et al.  Mathematical analysis of fuel cell strategic technologies development solutions in the automotive industry by the TOPSIS multi-criteria decision making method , 2011 .

[25]  Yusuf Tansel Iç,et al.  Development of a credit limit allocation model for banks using an integrated Fuzzy TOPSIS and linear programming , 2012, Expert Syst. Appl..

[26]  Kuo-liang Lee,et al.  A fuzzy quantified SWOT procedure for environmental evaluation of an international distribution center , 2008, Inf. Sci..

[27]  Seyed Masoud Hosseini Shorshani,et al.  Application of multi criteria decision making technique to evaluation suppliers in supply chain management , 2011 .

[28]  Avijit Mazumdar Application of Multi-Criteria Decision Making (MCDM) Approached on Teachers' Performance Evaluation and Appraisal , 2009 .

[29]  Edward C. Lawrence,et al.  An empirical investigation of new bank performance , 1987 .

[30]  V. Lakshmana Gomathi Nayagam,et al.  Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets , 2011, Expert Syst. Appl..

[31]  Ergün Eraslan,et al.  A Multi-Criteria Approach for Determination of Investment Regions: Turkish Case , 2011, Ind. Manag. Data Syst..

[32]  Rafael Caballero,et al.  Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems , 2002, Eur. J. Oper. Res..

[33]  Jun-Der Leu,et al.  An Integrated Group Decision Making Support Model for Corporate Financing Decisions , 2013 .

[34]  Fadi A. Thabtah,et al.  Intelligent phishing detection system for e-banking using fuzzy data mining , 2010, Expert Syst. Appl..

[35]  Cengiz Kahraman,et al.  Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS , 2009, Expert Syst. Appl..

[36]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[37]  Y. E. Albayrak,et al.  A study of bank selection decisions in Turkey using the extented fuzzy AHP method , 2005 .

[38]  Elena Beccalli,et al.  Does IT investment improve bank performance? Evidence from Europe , 2007 .

[39]  V. Torra,et al.  Averaging continuous distributions with the WOWA operator , 1997 .

[40]  Vicenç Torra,et al.  Modeling decisions - information fusion and aggregation operators , 2007 .

[41]  Henry C. W. Lau,et al.  A fuzzy multi-criteria decision support procedure for enhancing information delivery in extended enterprise networks , 2003 .