How to cite this paper
Ramezaniyan, M., Kazemi, M., Jafari, H & Elahi, S. (2012). Application of integrated fuzzy VIKOR & AHP methodology to contractor ranking.Management Science Letters , 2(5), 1511-1526.
Refrences
Alarc?n, L.F. & Mourgues, C. (2002). Performance modeling for contractor selection. Journal of Management in Engineering, 18 (2), 52–60 ASCE.
Banaitienê, N., & Banaitis, A. (2006). Analysis of criteria for contractors & apos; qualification evaluation. Technological and Economic Development of Economy, 12 (4), 276–282.
Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566–579.
Chan, A.P.C., & Chan, A.P.L. (2004). Key performance indicators for measuring construction success. Benchmarking: An International Journal, 11(2), 203–221.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649–655.
Chen, C. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.
Cheng, E.W.L., & Li, H. (2004). Contractor selection using the analytic network process. Construction Management and Economics, 22, 1021–1032.
Crowley, L.G., & Hancher, D.E. (1995). Evaluation of competitive bids. Journal of Construction Engineering and Management, 121 (2), 238–245 ASCE.
Demirtas, E.A., & Stun O, U. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, (36), 76–90.
Duckstein, L., & Opricovic, S. (1980). Multiobjective optimization in river basin development. Water Resources Research, 16(1), 14–20.
Hatush, Z., & Skitmore, M. (1998). Contractor selection using multi-criteria utility theory: an additive model. Building and Environment, 33(2–3), 105–115.
Holt, G.D., Olomolaiye, P.O., & Harris, F.C. (1993). A conceptual alternative to current tendering practice. Building Research and Information, 21(3), 167–172.
Holt, G.D., Olomolaiye, PO., & Harris, F.C. (1995). A review of contractor selection practice in the UK construction industry. Building and Environment, 30(4), 553–561.
Holt, G.D. (1998). Which contractor selection methodology? International Journal of Project Management, 1998, 16(3), 153–164.
Huang, S.H., & Keskar, H. (2007). Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics, 105, 510–123.
Hwang, C.H., & Yoon, K. (1981). Lecture notes in economics and mathematical systems. Berlin: Springer-Verlag.
Jaselskis, E.J., & Russell, J.S. (1992). Risk analysis approach to selection of contractor evaluationmethod. Journal of Construction Engineering and Management, 118 (4), 814–821.
Jaskowski, P. (2008). Designing the structure of a construction project operating system using evolutionary algorithm. Archives of Civil Engineering LIV 2, 371–394.
Jaskowski, P., & Sobotka, A. (2006). Multicriteria construction project scheduling method using evolutionary algorithm. Operational Research. An International Journal, 6 (3), 283–297.
Juan, Y.-K. Perng, Y.-H. Castro-Lacouture, D., & Lu, K.-S. (2009). Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction, 18139–144.
Kadefors, A., Bj?rlingson, E., & Karlsson, A. (2007). Procuring service innovations: contractor selection for partnering projects. International Journal of Project Management, 25, 375–85.
Kashiwhgi, D., & Byfield, R.E. (2002). Selecting the best contractor to get performance: on time, on budget, meeting quality expectations. Journal of Facilities Management, 1(2), 103–116.
Kaufmann, A., & Gupta, M. M. (1985). Introduction to fuzzy arithmetic: Theory and applications. New York: Van Nostrand Reinhold.
Kumaraswamy, M.M. (1996). Contractor evaluation and selection — Hong Kong perspective. Building and Environment, 31(3), 273–282.
Lam, K.C., Hu, T.S., & Ng, S.T. (2005). Using the principal component analysis method as a tool in contractor pre-qualification. Construction Management and Economics, 23 (7), 673–684.
Lam, K.Ch., Palaneeswaran, E., & Yu, Ch.-Y. (2009). A support vector machine model for contractor prequalification. Automation in Construction, 18, 321–329.
Luu, D.T., Ng, ST., & Chen, S.E. (2003). Parameters governing the selection of procurement system – an empirical survey. Engineering. Construction and Architectural Management, 10(3), 209–218.
McCabe, B., Tran, V., & Ramani, J. (2005). Construction prequalification using data envelopment analysis. Canadian Journal of Civil Engineering, 32, 183–193.
Minchin, R.E., & Smith, G.R. (2005). Quality-based contractor rating model for qualification and bidding purposes. Journal of Management in Engineering, 21 (1), 38–43 ASCE.
Mohantry, R.P., Agarwal, R., Choudhury, A.K., & Tiwari, M.K. (2005). A fuzzy ANP-based approach to R & D project selection: a case study. International Journal of Production, 43(24), 5199–216.
Molenaar, K.R., & Johnson, D.E. (2003). Engineering the procurement phase to achieve the best value. Leadership and Management, 3 (3), 137–141.
Opricovic, S., & Tzeng, G.H. (2004). The compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems (in Serbian, Visekriterijumska optimizacija sistema u gradjevinarstvu). Belgrade: Faculty of Civil Engineering.
Opricovic, S. (2007). A fuzzy compromise solution for multicriteria problems. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 15(3), 363–380.
Palaneeswaran, E., & Kumaraswamy, M. (2001). Recent advances and proposed improvements in contractor prequali3cation methodologies. Building and Environment, 36, 73–87.
Ravi, V., Shankar, R., & Tiwari, M.K. (2005). Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Computers and Industrial Engineering, 48, 327–356.
Russell, J.S., & Skibniewski, M.J. (1990). Qualifier-2: knowledge-based system for contractor prequalification. Journal of Construction Engineering and Management, 116 (1), 157–171 ASCE.
Russell, J.S., Hancher, D.E., & Skibniewski, M.J. (1992). Contractor prequalification data for construction owner. Construction Management and Economics, 10 (2), 117–135.
Singh, D., & Tiong, R. (2006). Contractor selection criteria: investigation of opinions of Singapore construction practitioners. Journal of Construction Engineering and Management, 132 (9), 998–1008 ASCE.
Sultan, A., & Tarawneh, (2004). Evaluation of Pre-qualification Criteria: Client Perspective; Jordan Case Study. Journal of Applied Sciences, 4, 354-363.
Ng, S.T., & Skitmore, M. (1999). Client and consultant perspectives of prequalification criteria. Building and Environment, 34, 607–21.
Topcu, Y.I. (2004). A decision model proposal for construction contractor selection in Turkey. Building and Environment, 39, 469–81.
Turkis, Z. (2008). Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Technological and Economic Development of Economy, 14 (2), 224–239.
Wang, T.-C., Liang, L.-J., & Ho, C.-Y. (2006). Multi-criteria decision analysis by using fuzzy VIKOR. In Proceedings of international conference on service systems and service management, 2, 901–906.
Wong, C.H., Holt, G.D., & Cooper, P.A. (2000). Lowest price or value? Investigation of UK construction clients & apos; tender selection process. Construction Management and Economics, 18 (7), 767–774.
Wong, C.H., Holt, G.D., & Nicholas, J. (2003). Using multivariate techniques for developing contractor classification models. Engineering, Construction and Architectural Management, 10 (2), 99–116.
Yasamis, F., Arditi, D., & Mohammadi, J. (2002). Assessing contractor quality performance. Construction Management and Economics. 20, 211–223.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technologies, 28, 839–844.
Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936–946.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8. 199–249 (I), 301–357 (II).
Zavadaskas, E.K., & Vilutiene, T. A. (2006). Multiple criteria evaluation of multi-family apartment block’s maintenance contractors: I– model for maintenance contractor evaluation and the determination of its selection criteria. Building and Environment, 41, 621–32.
Zeleny, M. (1982). Multiple Criteria Decision Making. New York: McGraw-Hill.
Zimmermann, H. J. (1991). Fuzzy Set Theory and its Applications (2nd ed.). Boston/ Dordrech/London: Kluwer Academic Publishers.
Banaitienê, N., & Banaitis, A. (2006). Analysis of criteria for contractors & apos; qualification evaluation. Technological and Economic Development of Economy, 12 (4), 276–282.
Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566–579.
Chan, A.P.C., & Chan, A.P.L. (2004). Key performance indicators for measuring construction success. Benchmarking: An International Journal, 11(2), 203–221.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649–655.
Chen, C. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114, 1–9.
Cheng, E.W.L., & Li, H. (2004). Contractor selection using the analytic network process. Construction Management and Economics, 22, 1021–1032.
Crowley, L.G., & Hancher, D.E. (1995). Evaluation of competitive bids. Journal of Construction Engineering and Management, 121 (2), 238–245 ASCE.
Demirtas, E.A., & Stun O, U. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, (36), 76–90.
Duckstein, L., & Opricovic, S. (1980). Multiobjective optimization in river basin development. Water Resources Research, 16(1), 14–20.
Hatush, Z., & Skitmore, M. (1998). Contractor selection using multi-criteria utility theory: an additive model. Building and Environment, 33(2–3), 105–115.
Holt, G.D., Olomolaiye, P.O., & Harris, F.C. (1993). A conceptual alternative to current tendering practice. Building Research and Information, 21(3), 167–172.
Holt, G.D., Olomolaiye, PO., & Harris, F.C. (1995). A review of contractor selection practice in the UK construction industry. Building and Environment, 30(4), 553–561.
Holt, G.D. (1998). Which contractor selection methodology? International Journal of Project Management, 1998, 16(3), 153–164.
Huang, S.H., & Keskar, H. (2007). Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics, 105, 510–123.
Hwang, C.H., & Yoon, K. (1981). Lecture notes in economics and mathematical systems. Berlin: Springer-Verlag.
Jaselskis, E.J., & Russell, J.S. (1992). Risk analysis approach to selection of contractor evaluationmethod. Journal of Construction Engineering and Management, 118 (4), 814–821.
Jaskowski, P. (2008). Designing the structure of a construction project operating system using evolutionary algorithm. Archives of Civil Engineering LIV 2, 371–394.
Jaskowski, P., & Sobotka, A. (2006). Multicriteria construction project scheduling method using evolutionary algorithm. Operational Research. An International Journal, 6 (3), 283–297.
Juan, Y.-K. Perng, Y.-H. Castro-Lacouture, D., & Lu, K.-S. (2009). Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction, 18139–144.
Kadefors, A., Bj?rlingson, E., & Karlsson, A. (2007). Procuring service innovations: contractor selection for partnering projects. International Journal of Project Management, 25, 375–85.
Kashiwhgi, D., & Byfield, R.E. (2002). Selecting the best contractor to get performance: on time, on budget, meeting quality expectations. Journal of Facilities Management, 1(2), 103–116.
Kaufmann, A., & Gupta, M. M. (1985). Introduction to fuzzy arithmetic: Theory and applications. New York: Van Nostrand Reinhold.
Kumaraswamy, M.M. (1996). Contractor evaluation and selection — Hong Kong perspective. Building and Environment, 31(3), 273–282.
Lam, K.C., Hu, T.S., & Ng, S.T. (2005). Using the principal component analysis method as a tool in contractor pre-qualification. Construction Management and Economics, 23 (7), 673–684.
Lam, K.Ch., Palaneeswaran, E., & Yu, Ch.-Y. (2009). A support vector machine model for contractor prequalification. Automation in Construction, 18, 321–329.
Luu, D.T., Ng, ST., & Chen, S.E. (2003). Parameters governing the selection of procurement system – an empirical survey. Engineering. Construction and Architectural Management, 10(3), 209–218.
McCabe, B., Tran, V., & Ramani, J. (2005). Construction prequalification using data envelopment analysis. Canadian Journal of Civil Engineering, 32, 183–193.
Minchin, R.E., & Smith, G.R. (2005). Quality-based contractor rating model for qualification and bidding purposes. Journal of Management in Engineering, 21 (1), 38–43 ASCE.
Mohantry, R.P., Agarwal, R., Choudhury, A.K., & Tiwari, M.K. (2005). A fuzzy ANP-based approach to R & D project selection: a case study. International Journal of Production, 43(24), 5199–216.
Molenaar, K.R., & Johnson, D.E. (2003). Engineering the procurement phase to achieve the best value. Leadership and Management, 3 (3), 137–141.
Opricovic, S., & Tzeng, G.H. (2004). The compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems (in Serbian, Visekriterijumska optimizacija sistema u gradjevinarstvu). Belgrade: Faculty of Civil Engineering.
Opricovic, S. (2007). A fuzzy compromise solution for multicriteria problems. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 15(3), 363–380.
Palaneeswaran, E., & Kumaraswamy, M. (2001). Recent advances and proposed improvements in contractor prequali3cation methodologies. Building and Environment, 36, 73–87.
Ravi, V., Shankar, R., & Tiwari, M.K. (2005). Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Computers and Industrial Engineering, 48, 327–356.
Russell, J.S., & Skibniewski, M.J. (1990). Qualifier-2: knowledge-based system for contractor prequalification. Journal of Construction Engineering and Management, 116 (1), 157–171 ASCE.
Russell, J.S., Hancher, D.E., & Skibniewski, M.J. (1992). Contractor prequalification data for construction owner. Construction Management and Economics, 10 (2), 117–135.
Singh, D., & Tiong, R. (2006). Contractor selection criteria: investigation of opinions of Singapore construction practitioners. Journal of Construction Engineering and Management, 132 (9), 998–1008 ASCE.
Sultan, A., & Tarawneh, (2004). Evaluation of Pre-qualification Criteria: Client Perspective; Jordan Case Study. Journal of Applied Sciences, 4, 354-363.
Ng, S.T., & Skitmore, M. (1999). Client and consultant perspectives of prequalification criteria. Building and Environment, 34, 607–21.
Topcu, Y.I. (2004). A decision model proposal for construction contractor selection in Turkey. Building and Environment, 39, 469–81.
Turkis, Z. (2008). Multi-attribute contractors ranking method by applying ordering of feasible alternatives of solutions in terms of preferability technique. Technological and Economic Development of Economy, 14 (2), 224–239.
Wang, T.-C., Liang, L.-J., & Ho, C.-Y. (2006). Multi-criteria decision analysis by using fuzzy VIKOR. In Proceedings of international conference on service systems and service management, 2, 901–906.
Wong, C.H., Holt, G.D., & Cooper, P.A. (2000). Lowest price or value? Investigation of UK construction clients & apos; tender selection process. Construction Management and Economics, 18 (7), 767–774.
Wong, C.H., Holt, G.D., & Nicholas, J. (2003). Using multivariate techniques for developing contractor classification models. Engineering, Construction and Architectural Management, 10 (2), 99–116.
Yasamis, F., Arditi, D., & Mohammadi, J. (2002). Assessing contractor quality performance. Construction Management and Economics. 20, 211–223.
Yong, D. (2006). Plant location selection based on fuzzy TOPSIS. International Journal of Advanced Manufacturing Technologies, 28, 839–844.
Yu, P. L. (1973). A class of solutions for group decision problems. Management Science, 19(8), 936–946.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8. 199–249 (I), 301–357 (II).
Zavadaskas, E.K., & Vilutiene, T. A. (2006). Multiple criteria evaluation of multi-family apartment block’s maintenance contractors: I– model for maintenance contractor evaluation and the determination of its selection criteria. Building and Environment, 41, 621–32.
Zeleny, M. (1982). Multiple Criteria Decision Making. New York: McGraw-Hill.
Zimmermann, H. J. (1991). Fuzzy Set Theory and its Applications (2nd ed.). Boston/ Dordrech/London: Kluwer Academic Publishers.