Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks

  • Dragisa Stanujkic Faculty of Management Zajecar
  • Bojan Djordjevic
  • Mira Djordjevic
Keywords: multiple criteria decision making, Multiple Criteria, decision-making, comparative analysis, comparations,

Abstract


In the literature, many multiple criteria decision making methods have been proposed. There are also a number of papers, which are devoted to comparison of their characteristics and performances. However, a definitive answer to questions: which method is most suitable and which method is most effective is still actual. Therefore, in this paper, the use of some prominent multiple criteria decision making methods is considered on the example of ranking Serbian banks. The objective of this paper is not to determine which method is most appropriate for ranking banks. The objective of this paper is to emphasize that the use of various multiple criteria decision making methods sometimes can produce different ranking orders of alternatives, highlighted some reasons which lead to different results, and indicate that different results obtained by different MCDM methods are not just a random event, but rather reality

References

Aghajani, H., Sedaghat, M., Dargahi, H., Pourhossein, M. (2012). Applying VIKOR, TOPSIS and SAW in fuzzy environment for ranking suppliers in supply chain: A Case study. American Journal of Scientific Research, 48(1), 10-19.

Andre, F.J., Cardenete M.A., Romero, C. (2007). Using compromise programming for macroeconomic policy making in a general equilibrium framework: Theory andapplication to the Spanish economy. Journal of the Operational Research Society, 59(7), 875-883.

Antucheviciene, J., Zakarevicius, A., Zavadskas, E.K. (2011). Measuring congruence of ranking results applying particular MCDM methods. Informatica 22(3), 319-338.

Antucheviciene, J., Zavadskas, E.K. (2012). Ranking redevelopment decisions of derelict buildings and analysis of ranking results. Economic Computation and Economic Cybernetics Studies and Research, 46(2), 37-62.

Archana, M., Sujatha, V. (2012). Application of Fuzzy MOORA and GRA in Multi-criterion Decision Making Problems. International Journal of Computer Applications, 53(9), 46-50.

Arslan, M., Cunkas, M. (2012). Performance evaluation of sugar plants by fuzzy technique for order performance by similarity to ideal solution (TOPSIS). Cybernetics and Systems, 43(7), 529-548.

Ashtiani, B., Haghighirad, F., Makui, A. (2009). Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing, 9(2), 457-461.

Bakshi, T., Sarkar, B. (2011). MCA based performance evaluation of project selection. International Journal of Software Engineering & Applications (IJSEA), 2(2), 14-22.

Balezentis, A., Balezentis, T. (2011). Framework of Strategic Management Model for Strategy Europe 2020: Diachronic Analysis and Proposed Guidelines. Inzinerine Ekonomika-Engineering Economics, 22(3), 271-282.

Balezentis, A., Balezentis, T., Brauers W.K.M. (2012). MULTIMOORA-FG: A multi-objective decision making method for linguistic reasoning with an application to personnel selection. Informatica, 23(2), 173-190.

Balezentis, A., Balezentis, T., Valkauskas, R. (2010). Evaluating situation of Lithuania in the European Union: structural indicators and MULTIMOORA method. Technological and Economic Development of Economy, 16(4), 578-602.

Banaitiene, N., Banaitis, A., Kaklauskas, A., Zavadskas, E.K. (2008). Evaluating the life cycle of a building: A multivariant and multiple criteria approach. Omega, 36(3), 429-441.

Bender, M.J., Simonovic, S.P. (2000). A fuzzy compromise approach to water resource systems planning under uncertainty. Fuzzy Sets and Systems, 115(1), 35-44.

Bilbao-Terol, A., Perez-Gladish, B., Arenas-Parra, M., Rodriguez-Uria, M.V. (2006). Fuzzy compromise programming for portfolio selection. Applied Mathematics and Computation, 173(1), 251-264.

Boran, F.E., Genc, S., Kurt, M., Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368.

Brans, J.P., Vincke, P. (1985). A preference ranking organization method: The PROMETHEE method for MCDM. Management Science, 31(6), 647-656.

Brauers, W.K.M. Ginevicius, R. (2009). Robustness in regional development studies. The case of Lithuania. Journal of Business Economics and Management, 10(2), 121-140.

Brauers, W.K.M., Ginevicius, R. (2010). The economy of the Belgian regions tested with MULTIMOORA. Journal of Business Economics and Management, 11(2), 173-209.

Brauers, W.K.M., Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), 445-469.

Brauers, W.K.M., Zavadskas, E.K. (2009). Robustness of the multi-objective MOORA method with a test for the facilities sector. Technological and Economic Development of Economy, 15(2), 352-375.

Brauers, W.K.M., Zavadskas, E.K. (2010a). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.

Brauers, W.K.M., Zavadskas, E.K. (2010b). Robustness in the MULTIMOORA model: the example of Tanzania. Transformations in Business & Economics, 9(3), 67-83.

Brauers, W.K.M., Zavadskas, E.K. (2011). MULTIMOORA optimization used to decide on a bank loan to buy property. Technological and Economic Development of Economy, 17(1), 174-188.

Brauers, W.K.M., Zavadskas, E.K. (2012). Robustness of MULTIMOORA: A method for Multi-Objective Optimization. Informatica, 23(1), 1-25.

Brauers, W.K.M., Zavadskas, E.K., Turskis, Z., and Vilutiene, T. (2008). Multi-objective contractor's ranking by applying the MOORA method. Journal of Business Economics and Management, 9(4), 245-255.

Brauers, W.K.M., Balezentis, A., Balezentis, T. (2011). MULTIMOORA for the EU Member States updated with fuzzy number theory. Technological and Economic Development of Economy, 17(2), 273–304.

Brauers, W.K.M., Ginevicius, R., Podviezko, A. (2012). Evaluation of performance of Lithuanian commercial banks by multi-objective optimization. The 7th International Scientific Conference Business and Management 2012: Selected papers, Vilnius Gediminas Technical University, Faculty of Business Management, Vilnius, Lithuania. Vilnius: Technika, pp. 1042-1049.

Buyukuzkan, G. (2012). An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. International Journal of Production Research, 50(11), 2892-2909.

Caterino, N., Iervolino, I., Manfredi, G., Cosenza, E. (2009). Comparative analysis of multi-criteria decision making methods for seismic structural retrofitting. Computer Aided Civil and Infrastructure Engineering, 24(6), 432-445.

Cehulic, D., Hunjak, T., Begicevic. N. (2011). Comparison of a bank's financial ratios using the analytical hierarchy process. In: Proceeding of the 22nd Central European conference on information and intelligent systems, University of Zagreb, Faculty of Organization and Informatics, Varazdin, Croatia, pp. 187-194.

Cetin, M.K., Cetin, E.I. (2010). Multi-Criteria Analysis of Bank’s Performances. International Journal of Economics and Finance Studies, 2(2), 73-78.

Chakraborty, S. (2011). Application of the MOORA method for decision making in manufacturing environment. The International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.

Chakraborty, S., Karande, P. (2012). Decision Making for Supplier Selection Using the MOORA Method. The IUP Journal of Operations Management, 11(2), 6-18.

Chan, J.W.K., Tong, T.K.L. (2007). Multi-criteria material selections and end-of-life product strategy: Grey relational analysis approach. Materials & Design, 28(5), 1539-1546.

Chang, C.H., Lin, J.J., Linc, J.H., Chiang, M.C. (2010). Domestic open-end equity mutual fund performance evaluation using extended TOPSIS method with different distance approaches. Expert Systems with Applications, 37(6), 4642-4649.

Chatterjee, P., Chakraborty, S. (2012). Material selection using preferential ranking methods. Materials and Design, 35(4), 384-393.

Chen, C.T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.

Chen, L.Y., Wang, T.C. (2009). Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120(1), 233-242.

Chen, T.Y. (2012). Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints. Expert Systems with Applications, 39(2), 1848-1861.

Chiu, W.Y., Tzeng, G.H., Li, H.L. (2012). A new hybrid MCDM model combining DANP with VIKOR to improve e-store business. Knowledge-Based Systems, 37, 48-61.

Chou, S.Y., Chang, Y.H., Shen, C.Y. (2008). A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes. European Journal of Operational Research, 189(1), 132-145.

Dagdeviren, M., Yavuz, S., Kılınc, N. (2009). Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 36(4), 8143-8151.

Deng, J.L. (1989). Introduction to grey system. Journal of Grey System, 1(1), 1-24.

Dey, B., Bairagi, B., Sarkar, B., Sanyal, S. (2012). A MOORA based fuzzy multi-criteria decision making approach for supply chain strategy selection. International Journal of Industrial Engineering Computations, 3(4), 649–662.

Duckstein, L., Opricovic, S. (1980). Multiobjective optimization in river basin development. Water Resources Research, 16(1), 14-20.

Ertugrul, I., Karakasoglu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702-715.

Ferreira, F.A.F., Sharp W.R., Santos, P.S., Rodrigues M.M.P. (2012). Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness. International Journal of Strategic Property Management, (3), 254-276.

Fouladgar, M.M., Yazdani-Chamzini, A., Zavadskas, E.K., Moini, S.H.H. (2012). A new hybrid model for evaluating the working strategies: case study of construction company. Technological and Economic Development of Economy, 18(1), 164-188.

Fu, C., Zheng, J., Zhao, J., Xu, W. (2001). Application of grey relational analysis for corrosion failure of oil tubes. Corrosion Science, 43(5), 881-889.

Fung, C.P. (2003). Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis. Wear, 254(3), 298-306.

Ginevicius, R., Podvezko, V. (2008). Multicriteria evaluation of Lithuanian banks from the perspective of their reliability for clients. Journal of Business Economics and Management, 9(4), 257-267.

Ginevicius, R., Podvezko, V. (2009). Evaluating the Changes in Economic and Social Development of Lithuanian Countries by Multiple Criteria Methods. Technological and Economic Development of Economy, 15(3), 418-436.

Ginevicius, R., Podviezko, A. (2011). A framework of evaluation of commercial banks. Intelektine ekonomika - Intellectual economics, 1(9), 37-53.

Ginevicius, R., Podvezko, V., Raslanas, S. (2008). Evaluating the alternative solutions of wall insulation by multicriteria methods. Journal of Civil Engineering and Management, 14(4), 217-226.

Ginevicius, R., Brauers, W.K.M., and Podvezko, V. (2010a). Regional development in Lithuania considering multiple objectives by the MOORA method. Technological and Economic Development of Economy, 16(4), 613-640.

Ginevicius, R., Krivka, A., Simkunaite, J. (2010b). The model of forming competitive strategy of an enterprise under the conditions of oligopolic market. Journal of Business Economics and Management, 11(3), 367-395.

Ginevicius, R., Podvezko, V., Novotny, M. (2010c). Evaluating Lithuanian banks from the perspective of their reliability to customers by PROMETHEE method. The 6th International Scientific Conference Business and Management 2010: selected papers, Vilnius Gediminas Technical University, Faculty of Business Management, Vilnius, Lithuania. Vilnius: Technika, pp. 993-999.

Huang, J.H., Peng, K.H. (2012). Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries. Tourism Management, 33(2), 456-465.

Hunjak, T., Jakovcevic, D. (2001). AHP based model for bank performance evaluation and rating. In: Proceedings of 6th International Symposium on Analytic Hierarchy Process (ISAHP 2001), Berne, Switzerland, pp. 149-158.

Hwang, C.L., Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer New York.

Jahan, A., Mustapha, F., Ismail, M.Y., Sapuan, S.M., Bahraminasab, M. (2011). A comprehensive VIKOR method for material selection. Materials & Design, 32(3), 1215-1221.

Jahanshahloo, G.R., Lotfi, F.H., Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied mathematics and computation, 175(2), 1375-1384.

Kaklauskas, A., Zavadskas, E.K., Raslanas, S. (2005). Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings, 37(4), 361–372.

Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., Malinauskas, P. (2006). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462.

Kalibatas, D., and Turskis, Z. (2008). Multicriteria evaluation of inner climate by using MOORA method. Information technology and control, 37(1), 79-83.

Karande, P. and Chakraborty, S. (2012). A Fuzzy-MOORA approach for ERP system selection. Decision Sciences Letters, 1(1), 11-22.

Kaya, T., Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517-2527.

Kersuliene V., Turskis Z. (2011). Integrated Fuzzy Multiple Criteria Decision Making Model for Architect Selection. Technological and Economic Development of Economy, 17(4), 645-666.

Kracka, M., Brauers, W.K.M., Zavadskas, E.K. (2010). Ranking heating losses in a building by applying the MULTIMOORA. Inzinerine Ekonomika-Engineering Economics, 21(4), 352-359.

Lin, C.L., Lin, J.L., Ko, T.C. (2002). Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. The International Journal of Advanced Manufacturing Technology, 19(4), 271-277.

Liu, H.C., Liu, L., Liu, N., Mao, L.X. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39(17), 12926-12934.

MacCrimon, K.R. (1968). Decision Marking Among Multiple-Attribute Alternatives: a Survey and Consolidated Approach. RAND memorandum, RM-4823-ARPA. The Rand Corporation, Santa Monica, California.

Madhuri, B.Ch., Chandulal, A. J., Padmaja, M. (2010). Selection of Best Web Site by Applying COPRAS-G Method. International Journal of Computer Science and Information Technologies, 1(2), 138-146.

Mahdavi, I., Mahdavi-Amiri, N., Heidarzade, A., Nourifar, R. (2008). Designing a model of fuzzy TOPSIS in multiple criteria decision making. Applied Mathematics and Computation, 206(2), 607-617.

Mazumdar, A., Datta, S., Makapatra, S.S. (2010). Multicriteria decision-making models for the evaluation and appraisal of teachers' performance. International Journal of Productivity and Quality Management, 6(2), 213-230.

Opricovic, S. (1998). Visekriterijumska optimizacija u građevinarstvu - Multi-criteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade. (in Serbian).

Opricovic, S. (2007). A Fuzzy Compromise Solution for Multicriteria Problems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(3), 363–380.

Opricovic, S. (2011). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38(10), 12983-12990.

Opricovic, S., Tzeng, G.H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455.

Podvezko, V. (2011). The comparative analysis of MCDA methods SAW and COPRAS. Inzinerine Ekonomika-Engineering Economics, 22(2), 134-146.

Podvezko, V., Mitkus, S., Trinkuniene, E. (2010). Complex evaluation of contracts for construction. Journal of Civil Engineering and Management, 16(2), 287-297.

Poff, B.A., Tecle, A., Neary, D.G., Geils, B. (2010). Compromise Programming in forest management. Journal of the Arizona-Nevada Academy of Science, 42(1), 44-60.

Popovic, G., Stanujkic, D., Stojanovic, S. (2012). Investment project selection by applying copras method and imprecise data. Serbian Journal of Management, 7(2), 257-269.

Prodanovic, P., Simonovic, S.P. (2003). Fuzzy compromise programming for group decision making. IEEE Transactions on Systems Man and Cybernetics, Part A: Systems and Humans, 33(3), 358-365.

Rakocevic, S., Dragasevic. Z. (2009). Analysis of the Efficiency of Banks in Montenegro Using the AHP. In: Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process: Multi-criteria Decision Making (ISAHP 2009), University of Pittsburgh, Pittsburgh, Pennsylvania, USA, pp. 1-11.

Rao, R.V. (2008). A decision making methodology for material selection using an improved compromise ranking method. Materials & Design, 29(10), 1949-1954.

Ravi, V. (2012). Selection of third-party reverse logistics providers for End-of-Life computers using TOPSIS-AHP based approach. International Journal of Logistics Systems and Management, 11(1), 24-37.

Roostaee, R., Izadikhah, M., Lotfi, F.H., Rostamy-Malkhalifeh, M. (2012). A Multi-Criteria Intuitionistic Fuzzy Group Decision Making Method for Supplier Selection with VIKOR Method. International Journal of Fuzzy System Applications (IJFSA), 2(1), 1-17.

Roy, B. (1991). The Outranking Approach and the Foundation of ELECTRE Methods. Theory and Decision, 31(1), 49-73.

Saaty, T.L. (1980). Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.

San Cristobal, J.R. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.

Saremi, M., Mousavi, S.F., Sanayei, A. (2009). TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert Systems with Application, 36(2), 2742-2749.

Savitha, K., Chandrasekar, C. (2011). Trusted network selection using SAW and TOPSIS algorithms for heterogeneous wireless networks. International Journal of Computer Applications, 26(8), 22-29.

Sayadi, M.K., Heydari, M., Shahanaghi, K. (2009). Extension of VIKOR method for decision making problem with interval numbers. Applied Mathematical Modelling, 33(5), 2257-2262.

Shanian, A., Savadogo O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104.

Sherman, H.D., Gold, F. (1985). Bank Branch operating Efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance, 9(2), 279-315.

Shih, H.S., Shyur, H.J., Lee, E.S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7), 801-813.

Simonovic, S.P., Burn, D.H. (1989). An improved methodology for short-term operation of a single multipurpose reservoir. Water Resources Research, 25(1-8), 1989.

Simonovic, S.P., Venema, H.D., Burn, D.H. (1992). Risk-based parameter selection for short-term reservoir operation. Journal of Hydrology, 131(1-4), 269-291.

Stankeviciene, J., Mencaite, E. (2012). The evaluation of bank performance using multicriteria decision making model: a case study on Lithuanian commercial banks. Technological and Economic Development of Economy, 18(1), 189-205.

Stanujkic, D., Magdalinovic, N., Jovanovic, R., Stojanovic, S. (2012a). An objective multi-criteria approach to optimization using MOORA method and interval grey numbers. Technological and Economic Development of Economy, 18(2), 331-363.

Stanujkic, D., Magdalinovic, N., Stojanovic, S., Jovanovic, R. (2012b). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.

Susinska, S., Zavadskas, E.K., Turskis, Z. (2011). Multiple criteria assessment of pile-columns alternatives. Baltic Journal of Road and Bridge Engineering, 6(3), 145-152.

Tansel, Y. (2012). An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies. Robotics and Computer-Integrated Manufacturing 28(2), 245-256.

Tecle, A., Shrestha, B.P., Duckstein, L. (1998). A multiobjective decision support system for multiresource forest management. Group Decision and Negotiation, 7(1), 23-40.

Tong, L.I., Chen, C.C., Wang, C.H. (2007). Optimization of multi-response processes using the VIKOR method. International Journal of Advanced Manufacturing Technology, 31(11), 1049-1057.

Tosun, N. (2006). Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis. The International Journal of Advanced Manufacturing Technology, 28(5), 450-455.

Triantaphyllou, E. (2000). Multi-criteria decision making methods: A comparative study. Kluwer academic publishers, Applied optimization series, (Vol. 44).

Turskis, Z., Tamosaitiene, J., Vilutiene, T., Zavadskas, E.K. (2010). Contractor selection for construction works by applying SAW-G and TOPSIS grey techniques. Journal of Business Economics and Management, 11(1), 34-55.

Turskis, Z., Zavadskas, E.K. (2010a). A novel method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) method, Informatica 21(4): 597-610.

Turskis, Z., Zavadskas, E.K. (2010b). A new fuzzy Additive Ratio ASsessment method (ARAS-F). case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport 25(4): 423-432.

Turskis, Z., Lazauskas, M., Zavadskas, E.K. (2012). Fuzzy Multiple Criteria Assessment of Construction Site Alternatives for Non-Hazardous Waste Incineration Plant in Vilnius City, Applying ARAS-F and AHP Methods. Journal of Environmental Engineering and Landscape Management, 20(2), 110-120.

Wang, T.C., Chang, T.H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33(4), 870-880.

Wang, Y.M., Elhag, T. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309-319.

Wu, C.C., Chang, N.B. (2004). Corporate optimal production planning with varying environmental costs: A grey compromise programming approach. European Journal of Operational Research, 155(1), 68-95.

Wu, H.Y., Tzeng, G.H., Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.

Yang, T., Hung, C.C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23(1), 126-137.

Yeh, Q.J. (1996). The application of data envelopment analysis in conjunction with financial ratios for bank performance evaluation. Journal of the Operational Research Society, 47(8), 980-988.

Yoon, K., Hwang, C.L. (1980). Multiple Attribute Decision - Making Methods and Applications: A State of the Art Survey. Springer Verlag, Berlin.

Yu, P.L. (1973). A Class of Solutions for Group Decision Problems. Management Science 19(8), 936-946.

Yu-Ping, O.Y., Shieh, H.M., Leu, J.D., Tzeng, G.H. (2009). A VIKOR-based multiple criteria decision method for improving information security risk. International Journal of Information Technology & Decision Making, 8(2), 267-287.

Zavadskas, E.K., Antucheviciene, J. (2007). Multiple criteria evaluation of rural building’s regeneration alternatives. Building and Environment, 42(1), 436–451.

Zavadskas, E.K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica, 19(2), 303-314.

Zavadskas, E.K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16 (2), 159-172.

Zavadskas, E.K., Kaklauskas, A., Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.

Zavadskas, E.K., Kaklauskas, A., Kvederyte, N. (2001). Multivariant design and multiple criteria analysis of building life cycle. Informatica, 12(1), 169-188.

Zavadskas, E.K., Kaklauskas, A., Banaitis, A., Kvederyte, N. (2004). Housing credit access model: The case for Lithuania. European Journal of Operational Research, 155(2), 335-352.

Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamosaitiene, J. (2008a). Selection of the effective dwelling house walls applying attributes determined in intervals. Journal of Civil Engineering and Management, 14(2), 85-93.

Zavadskas, E.K., Turskis, Z., Tamosaitiene, J., Marina, V. (2008b). Multicriteria selection of projet managers by applying grey criteria. Technological and Economic Development of Economy, 14(4), 462-477.

Zavadskas, E.K., Z. Turskis and J. Tamosaitiene (2008c). Contractor selection of construction in a competitive environment. Journal of Business Economics and Management, 9(3), 181–187.

Zavadskas, E.K., Turskis, Z., Tamosaitiene, J. (2010a). Risk assessment of construction projects. Journal of Civil Engineering and Management, 16(1), 33-46.

Zavadskas, E.K., Vilutiene, T., Turskis Z., Tamosaitiene, J. (2010b). Contractor selection for construction works by applying SAW-G and TOPSIS grey techniques. Journal of Business Economics and Management, 11(1), 34-55.

Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamosaitiene, J., Kalibatas, D. (2011). Assessment of the indoor applying the COPRAS-G Method: Lithuanian Case Study. Environmental Engineering and Management Journal, 10(5), 637-647.

Zavadskas, E.K., Vainiunas, P., Turskis, Z., Tamosaitiene, J. (2012). Multiple criteria decision support system for assessment of projects managers in construction. International Journal of Information Technology & Decision Making, 11(2), 501-520.

Zeleny, M. (1973). Compromise programming. In: Multiple Criteria Decision Making, eds: J. Cochrane L. & M. Zeleny, pp. 262-301, University of South Carolina Press, Columbia, SC.

Zolfani, S.H., Sedaghat, M., Zavadskas, E.K. (2012). Performance evaluating of rural ICT centers (telecenters), applying fuzzy AHP, SAW-G and TOPSIS Grey, a case study in Iran. Technological and Economic Development of Economy, 18(2), 364-387.

Published
2013/06/23
Section
Original Scientific Paper