How to cite this paper
Ebrahimi, A., Alimohammadlou, M & Mohammadi, S. (2016). Identification and prioritization of effective factors in assessment and ranking of contractors using fuzzy multi-criteria techniques.Decision Science Letters , 5(1), 95-108.
Refrences
Arsalan, G., Kivrak, S., Birgonul, M. T., & Dikmen, I. (2008). Improving sub-contractor selection process in construction projects: Web-based sub-contractor evaluation system (WEBSES). Automation in Construction, 17(4), 480-488.
Asgharizadeh, E., & Nasrollahi, M. (2008). Identification and weighing the indexes effective in selection of contractors for development projects. Management Researches Publication, 1(2), 105-122.(in Persian)
Barzinpour, F., & Namazifard, S. (2011). Identification and prioritizing the indexes of contractor selection in project-based organizations with balanced scorecard. 2nd International Conference on Strategic Management of Projects, Tehran, Sharif University of Technology, Shahid Rezaei Research Center. (In Persian)
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems,17(3), 233-247.
Charnes, A., Clark, C. T., Cooper, W. W., & Golany, B. (1984). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the US air forces. Annals of Operations Research, 2(1), 95-112.
Cheng, J. H., Lee, C. M., & Tang, C. H. (2009). An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry. WSEAS Transactions on Information Science and Applications, 6(5), 756-767.
Dashti, H., Mirani, M., & Karimian, M. H. (2011). Evaluation and selection of contractors for development projects by FMADM algorithm. National Conference on Structures, Roads, Architecture, Chalus, Islamic Azad University. (In Persian)
Diani, M., & Shiruiyezad, H. (2012). Evaluation and selection the best contractor in the department of civil municipality of Isfahan using AHP. The First National Conference of Industrial and Systems Engineering, Najaf abad, Department of Industrial Engineering. (In Persian)
Eastman, J. R. (1995). Idrisi for Windows: user’s guide, version 1.0. Clarks Labs for Cartographic Technology and Geographic analysis, Clarks University, Worchester, Massachusetts.
El-Sawalhi, N., Eaton, D., & Rustom, R. (2007). Contractor pre-qualification model: State-of-the-art. International Journal of Project Management, 25(5), 465-474.
Eshtehardian, E. (2003). Evaluation of pre-qualification indexes and superior contractor selection in tenders. M.Sc. Thesis, Iran University of Science and Industry. (In Persian)
Golbaharzadeh, M., Mahdavi Adeli, M., Khezrlou, M., & Golbaharzadeh, M. (2013). Ranking constructional contractors according to a proposed fuzzy multi-criteria decision-making Model. 6th Cross-Regional Conference on Modern Developments in Engineering Sciences,Tonekabon, Ayandegan Higher Education Institute. I Persian)
Heidari, A., & Heidari, M. (2008). Contractors’ selection by AHP. National Conference on Value Engineering in the Construction Industry, Tehran, Ghalamchi Institute of Management Services and Development Technology. (In Persian)
Hsu, Y. L., Lee, C. H., & Kreng, V. B. (2010). The application of fuzzy Delphi method and fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications, 37(1), 419-425.
Jaferi, H., & Shiruiyezad, H. (2012). The contractor selection for the implementation of development projects and sensitivity analysis measures using multicriteria decision model. The first National Conference of Industrial and Systems Engineering, Najafabad, Department of Industrial Engineering. (in Persian)
Kazemi Asiabar, M. (2011). Ranking and optimal contractor selection by AHP-VIKOR hybrid technique in fuzzy environment; Case Study: Mazandaran Province Industrial Suburbs Co.” M.Sc. Thesis. Qazvin Imam Khomeini International University. (In Persian)
Khakbaz Abyaneh, A., Sajadi, M., & Zamani Sadeh, M. (2012). Providing a model for sub-contractors selection in petroleum industry by balanced scorecard standards and hierarchical analysis. 3rd National Conference on Industry and System Engineering, Tehran, Islamic Azad University, South Tehran Branch. (In Persian)
Khavari Nejad, M. M. (2012). Evaluating pre-qualification indexes for selection of cass-one suitable buildings contractor in tenders by fuzzy AHP. M.Sc. Thesis, Islamic Azad University, Tehran Science and Research Branch. (In Persian)
Kickert, W. J. (1978). Fuzzy theories on decision making: A critical review (Vol. 3). Springer Science & Business Media.
Khodaei, F. (2005). Selection of preferred contractor in a tender in the field of construction. M.Sc. Thesis, Islamic Azad University, Central Tehran Branch. (In Persian)
Li, Y., Nie, X., & Chen, S. (2007). Fuzzy approach to prequalifying construction contractors. Journal of Construction Engineering and Management, 133(1), 40-49.
Mirhadifard, M. (2005). Designing the model for selection of construction and installation contractors in petrochemical, petroleum, and gas projects. M.Sc. Thesis. Sharif University of Petroleum. (In Persian)
Momeni, M., & Marmazi, H. (2007). Improving the quality of financial service by application of QFD and AHP. Review of Accounting and Auditing Publication, 14(48), 105-124. (In Persian)
Munda, G. (1995). Multicriteria evaluation in a fuzzy environment: theory and applications in ecological economics. Physica-Verlag.
Nassar, K., & Hosny, O. (2013). Fuzzy clustering validity for contractor performance evaluation: Application to UAE contractors. Automation in Construction, 31, 158-168.
Naseri, A. H., & Afsar, A. (2011). Providing a model for contractors’ selection in software projects. Information Technology Management Publication, 6, 145-164. (In Persian)
Ng, W. L. (2008). An efficient and simple model for multiple criteria supplier selection problem. European Journal of Operational Research, 186(3), 1059-1067.
Nieto-Morote, A., & Ruz-Vila, F. (2012). A fuzzy multi-criteria decision-making model for construction contractor prequalification. Automation in Construction, 25, 8-19.
Plebankiewicz, E. (2009). Contractor prequalification model using fuzzy sets. Journal of Civil Engineering and Management, 15(4), 377-385.
Rajaee, H., & Hazrati, A. (2008).Providing decision making model of multi-criteria fuzzy TOPSIS and Fuzzy TOPSIS for pre-qualification and contractors selection and comparing their results. 4th International Conference on Project Management, Tehran, Ariana Research Group. (In Persian)
Rao, R. V., & Davim, J. P. (2008). A decision-making framework model for material selection using a combined multiple attribute decision-making method.The International Journal of Advanced Manufacturing Technology, 35(7-8), 751-760.
Ravanshadnia, M., Hazrati, A., & Rajaei, H. (2007). Model for contractor selection by SAW MADM.3th International Conference on Project Management, Tehran, Ariana Research Group. (in Persian)
Razmi, J., Hale, H., & Meshkinfam, S.(2007). Evaluation and selection of construction contractors using fuzzy multicriteria methods. 5th International Conference on Management, Tehran, Ariana Research Group. (In Persian)
Ross, T. J. (2009). Fuzzy logic with engineering applications. John Wiley & Sons.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw.
Sadeghi, H., Moeini, F., Samanian, H., & Yazdani, M. (2009). Providing a fuzzy hybrid model for evaluation and ranking project suppliers. 5th International Conference on Project Management, Tehran, Ariana Research Group. (In Persian)
Shakiba Zahed., H. (2012).The proposed method of transfer the project to the most suitable contractor by using risk analysis. M.Sc. Thesis. Sharif University of Technology. (In Persian)
Singh, D., & Tiong, R. L. (2005). A fuzzy decision framework for contractor selection. Journal of Construction Engineering and Management, 131(1), 62-70.
Tavakoli, A., & Kamrani, M. (2011). Prioritizing the indexes of contractor selection in power plants according to AHP. 6th Conference on Power Plants, Tehran, Tarasht Power Plant. (In Persian)
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.
Yager, R. R. (1993). Families of OWA operators. Fuzzy sets and systems,59(2), 125-148.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.
Zakeri Afshar, A., Moeini Aghtaei, M., & Zand Aghtaei, H. (2014). Model for improving the evaluation of contractors in construction projects using the integration of the existing situation and AHP method. First National Congress of engineering, fabrication and evaluation of development projects,Gorgan, Construction Engineering Organization of Golestan province. (In Persian)
Zare Mehrjerdi, Y., Momeni, H., & Barghi, S. (2010). Contractors’ evaluation and selection model in petrochemical projects; Decision making techniques approach –Technique of borda. Business Administration Researches Publication, 3, 33-59. (In Persian)
Asgharizadeh, E., & Nasrollahi, M. (2008). Identification and weighing the indexes effective in selection of contractors for development projects. Management Researches Publication, 1(2), 105-122.(in Persian)
Barzinpour, F., & Namazifard, S. (2011). Identification and prioritizing the indexes of contractor selection in project-based organizations with balanced scorecard. 2nd International Conference on Strategic Management of Projects, Tehran, Sharif University of Technology, Shahid Rezaei Research Center. (In Persian)
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems,17(3), 233-247.
Charnes, A., Clark, C. T., Cooper, W. W., & Golany, B. (1984). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the US air forces. Annals of Operations Research, 2(1), 95-112.
Cheng, J. H., Lee, C. M., & Tang, C. H. (2009). An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry. WSEAS Transactions on Information Science and Applications, 6(5), 756-767.
Dashti, H., Mirani, M., & Karimian, M. H. (2011). Evaluation and selection of contractors for development projects by FMADM algorithm. National Conference on Structures, Roads, Architecture, Chalus, Islamic Azad University. (In Persian)
Diani, M., & Shiruiyezad, H. (2012). Evaluation and selection the best contractor in the department of civil municipality of Isfahan using AHP. The First National Conference of Industrial and Systems Engineering, Najaf abad, Department of Industrial Engineering. (In Persian)
Eastman, J. R. (1995). Idrisi for Windows: user’s guide, version 1.0. Clarks Labs for Cartographic Technology and Geographic analysis, Clarks University, Worchester, Massachusetts.
El-Sawalhi, N., Eaton, D., & Rustom, R. (2007). Contractor pre-qualification model: State-of-the-art. International Journal of Project Management, 25(5), 465-474.
Eshtehardian, E. (2003). Evaluation of pre-qualification indexes and superior contractor selection in tenders. M.Sc. Thesis, Iran University of Science and Industry. (In Persian)
Golbaharzadeh, M., Mahdavi Adeli, M., Khezrlou, M., & Golbaharzadeh, M. (2013). Ranking constructional contractors according to a proposed fuzzy multi-criteria decision-making Model. 6th Cross-Regional Conference on Modern Developments in Engineering Sciences,Tonekabon, Ayandegan Higher Education Institute. I Persian)
Heidari, A., & Heidari, M. (2008). Contractors’ selection by AHP. National Conference on Value Engineering in the Construction Industry, Tehran, Ghalamchi Institute of Management Services and Development Technology. (In Persian)
Hsu, Y. L., Lee, C. H., & Kreng, V. B. (2010). The application of fuzzy Delphi method and fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications, 37(1), 419-425.
Jaferi, H., & Shiruiyezad, H. (2012). The contractor selection for the implementation of development projects and sensitivity analysis measures using multicriteria decision model. The first National Conference of Industrial and Systems Engineering, Najafabad, Department of Industrial Engineering. (in Persian)
Kazemi Asiabar, M. (2011). Ranking and optimal contractor selection by AHP-VIKOR hybrid technique in fuzzy environment; Case Study: Mazandaran Province Industrial Suburbs Co.” M.Sc. Thesis. Qazvin Imam Khomeini International University. (In Persian)
Khakbaz Abyaneh, A., Sajadi, M., & Zamani Sadeh, M. (2012). Providing a model for sub-contractors selection in petroleum industry by balanced scorecard standards and hierarchical analysis. 3rd National Conference on Industry and System Engineering, Tehran, Islamic Azad University, South Tehran Branch. (In Persian)
Khavari Nejad, M. M. (2012). Evaluating pre-qualification indexes for selection of cass-one suitable buildings contractor in tenders by fuzzy AHP. M.Sc. Thesis, Islamic Azad University, Tehran Science and Research Branch. (In Persian)
Kickert, W. J. (1978). Fuzzy theories on decision making: A critical review (Vol. 3). Springer Science & Business Media.
Khodaei, F. (2005). Selection of preferred contractor in a tender in the field of construction. M.Sc. Thesis, Islamic Azad University, Central Tehran Branch. (In Persian)
Li, Y., Nie, X., & Chen, S. (2007). Fuzzy approach to prequalifying construction contractors. Journal of Construction Engineering and Management, 133(1), 40-49.
Mirhadifard, M. (2005). Designing the model for selection of construction and installation contractors in petrochemical, petroleum, and gas projects. M.Sc. Thesis. Sharif University of Petroleum. (In Persian)
Momeni, M., & Marmazi, H. (2007). Improving the quality of financial service by application of QFD and AHP. Review of Accounting and Auditing Publication, 14(48), 105-124. (In Persian)
Munda, G. (1995). Multicriteria evaluation in a fuzzy environment: theory and applications in ecological economics. Physica-Verlag.
Nassar, K., & Hosny, O. (2013). Fuzzy clustering validity for contractor performance evaluation: Application to UAE contractors. Automation in Construction, 31, 158-168.
Naseri, A. H., & Afsar, A. (2011). Providing a model for contractors’ selection in software projects. Information Technology Management Publication, 6, 145-164. (In Persian)
Ng, W. L. (2008). An efficient and simple model for multiple criteria supplier selection problem. European Journal of Operational Research, 186(3), 1059-1067.
Nieto-Morote, A., & Ruz-Vila, F. (2012). A fuzzy multi-criteria decision-making model for construction contractor prequalification. Automation in Construction, 25, 8-19.
Plebankiewicz, E. (2009). Contractor prequalification model using fuzzy sets. Journal of Civil Engineering and Management, 15(4), 377-385.
Rajaee, H., & Hazrati, A. (2008).Providing decision making model of multi-criteria fuzzy TOPSIS and Fuzzy TOPSIS for pre-qualification and contractors selection and comparing their results. 4th International Conference on Project Management, Tehran, Ariana Research Group. (In Persian)
Rao, R. V., & Davim, J. P. (2008). A decision-making framework model for material selection using a combined multiple attribute decision-making method.The International Journal of Advanced Manufacturing Technology, 35(7-8), 751-760.
Ravanshadnia, M., Hazrati, A., & Rajaei, H. (2007). Model for contractor selection by SAW MADM.3th International Conference on Project Management, Tehran, Ariana Research Group. (in Persian)
Razmi, J., Hale, H., & Meshkinfam, S.(2007). Evaluation and selection of construction contractors using fuzzy multicriteria methods. 5th International Conference on Management, Tehran, Ariana Research Group. (In Persian)
Ross, T. J. (2009). Fuzzy logic with engineering applications. John Wiley & Sons.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw.
Sadeghi, H., Moeini, F., Samanian, H., & Yazdani, M. (2009). Providing a fuzzy hybrid model for evaluation and ranking project suppliers. 5th International Conference on Project Management, Tehran, Ariana Research Group. (In Persian)
Shakiba Zahed., H. (2012).The proposed method of transfer the project to the most suitable contractor by using risk analysis. M.Sc. Thesis. Sharif University of Technology. (In Persian)
Singh, D., & Tiong, R. L. (2005). A fuzzy decision framework for contractor selection. Journal of Construction Engineering and Management, 131(1), 62-70.
Tavakoli, A., & Kamrani, M. (2011). Prioritizing the indexes of contractor selection in power plants according to AHP. 6th Conference on Power Plants, Tehran, Tarasht Power Plant. (In Persian)
Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.
Yager, R. R. (1993). Families of OWA operators. Fuzzy sets and systems,59(2), 125-148.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.
Zakeri Afshar, A., Moeini Aghtaei, M., & Zand Aghtaei, H. (2014). Model for improving the evaluation of contractors in construction projects using the integration of the existing situation and AHP method. First National Congress of engineering, fabrication and evaluation of development projects,Gorgan, Construction Engineering Organization of Golestan province. (In Persian)
Zare Mehrjerdi, Y., Momeni, H., & Barghi, S. (2010). Contractors’ evaluation and selection model in petrochemical projects; Decision making techniques approach –Technique of borda. Business Administration Researches Publication, 3, 33-59. (In Persian)