Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment
Abstract
Project management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors under vagueness. To deal with sustainable project selection several important factors should be properly considered. In this paper, in order to provide a new multi-criteria project selection method, a novel last aggregation method is presented. This method has several main novelties. First, to address uncertainty interval type 2 fuzzy sets (IT2FSs) are used. Second, the importance of criteria is investigated by using IT2F entropy. Third, a novel index for decision making is presented that has the merits of ratio system in MOORA and COPRAS, named MORAS. Fourth, the weights of decision makers are computed according to the obtained judgments and the weights are employed to aggregate the results. Fifth, the defuzzification is carried out in the last step of the process by means of a new IT2F ranking method. To present the applicability of the method, it is used in an existing case study in the literature and the outcomes are presented.
Keyword : interval type 2 fuzzy sets (IT2FSs), decision makers’ weights, entropy, last aggregation, COPRAS, MOORA, MORAS method, sustainable infrastructure project selection
How to Cite
Mohagheghi, V., Mousavi, S. M., Antuchevičienė, J., & Dorfeshan, Y. (2019). Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment. International Journal of Strategic Property Management, 23(6), 390-404. https://doi.org/10.3846/ijspm.2019.10536
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Akhavan, P., Barak, S., Maghsoudlou, H., & Antuchevičienė, J. (2015). FQSPM-SWOT for strategic alliance planning and partner selection; case study in a holding car manufacturer company. Technological and Economic Development of Economy, 21(2), 165-185. https://doi.org/10.3846/20294913.2014.965240
Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture. Sustainability, 10(5), 1626. https://doi.org/10.3390/su10051626
Atkinson, R., Crawford, L., & Ward, S. (2006). Fundamental uncertainties in projects and the scope of project management. International Journal of Project Management, 24(8), 687-698. https://doi.org/10.1016/j.ijproman.2006.09.011
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. https://doi.org/10.1007/s00170-010-2972-0
Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, (1), 5-24. https://doi.org/10.3846/tede.2010.01
Brauers, W. K., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2006). Evaluating redevelopment alternatives of buildings with an application of the MOORA method. Simulation and Optimisation in Business and Industry, 131-135. Retrieved from http://hdl.handle.net/10067/599440151162165141
Chakraborty, S. (2011). Applications of the MOORA method for decision making in manufacturing environment. The International Journal of Advanced Manufacturing Technology, 54(912), 1155-1166. https://doi.org/10.1007/s00170-010-2972-0
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860. https://doi.org/10.1016/j.matdes.2010.07.010
Chen, S. M., & Lee, L. W. (2010). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with Applications, 37(1), 824-833. https://doi.org/10.1016/j.eswa.2009.06.094
Chiao, K. P. (2014, November). Interval type-2 fuzzy sets extension of analytic hierarchy process with application to new product development project screening. In IEEE 2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY), (pp. 111-116). https://doi.org/10.1109/iFUZZY.2014.7091242
Davoudabadi, R., Mousavi, S. M., Šaparauskas, J., & Gitinavard, H. (2019). Solving construction project selection problem by a new uncertain weighting and ranking based on compromise solution with linear assignment approach. Journal of Civil Engineering and Management, 25(3), 241-251. https://doi.org/10.3846/jcem.2019.8656
Dorfeshan, Y., Mousavi, S. M., Mohagheghi, V., & Vahdani, B., (2018). Selecting project-critical path by a new interval type2 fuzzy decision methodology based on MULTIMOORA, MOOSRA and TPOP methods. Computers & Industrial Engineering, 120, 160-178. https://doi.org/10.1016/j.cie.2018.04.015
Dorfeshan, Y., & Mousavi, S. M. (2019). A new interval type-2 fuzzy decision method with an extended relative preference relation and entropy to project critical path selection, International Journal of Fuzzy System Applications, 8(1), 19-47. https://doi.org/10.4018/IJFSA.2019010102
Ebrahiminejad, M., Shakeri, E., Ardeshir, A., & Zarandi, M. F. (2018). An object-oriented model for construction method selection in buildings using fuzzy information. Energy and Buildings, 178, 228-241. https://doi.org/10.1016/j.enbuild.2018.08.002
Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multicriteria decision-making model to choose the best option for sustainable construction management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
Gitinavard, H., Foroozesh, N., Mousavi, S. M., & Mohagheghi, V. (2018). Soft computing based on a selection index method with risk preferences under uncertainty: applications to construction industry, International Journal of Computational Systems Engineering, 4(4), 238-247. https://doi.org/10.1504/IJCSYSE.2018.095576
Grady, C. A., He, X., & Peeta, S. (2015). Integrating social network analysis with analytic network process for international development project selection. Expert Systems with Applications, 42(12), 5128-5138. https://doi.org/10.1016/j.eswa.2015.02.039
Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: theory, developments, applications, and challenges. Information Fusion, 51, 145-177. https://doi.org/10.1016/j.inffus.2018.12.002
Haghighi, M. H., Mousavi, S. M., & Mohagheghi, V. (2019). A new soft computing model based on linear assignment and linear programming technique for multidimensional analysis of preference with interval type-2 fuzzy sets. Applied Soft Computing, 77, 780–796. https://doi.org/10.1016/j.asoc.2019.01.048
Haghighi, M. H., Mousavi, S. M., Antucheviciene, J., & Mohagheghi, V. (2019). A new analytical methodology to handle time-cost trade-off problem with considering quality loss cost under interval-valued fuzzy uncertainty. Technological and Economic Development of Economy, 25(2), 277-299. https://doi.org/10.3846/tede.2019.8422
Hsu, L. C. (2014). A hybrid multiple criteria decision-making model for investment decision making. Journal of Business Economics and Management, 15(3), 509-529. https://doi.org/10.3846/16111699.2012.722563
Hu, J., Zhang, Y., Chen, X., & Liu, Y. (2013). Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowledge-Based Systems, 43, 21-29. https://doi.org/10.1016/j.knosys.2012.11.007
Kildienė, S., Kaklauskas, A., & Zavadskas, E. K. (2011). COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. Journal of Business Economics and Management, 12(2), 417-434. https://doi.org/10.3846/16111699.2011.575190
Kiliç, M., & Kaya, İ. (2015). Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Applied Soft Computing, 27, 399-410. https://doi.org/10.1016/j.asoc.2014.11.028
Kivilä, J., Martinsuo, M., & Vuorinen, L. (2017). Sustainable project management through project control in infrastructure projects. International Journal of Project Management, 35(6), 1167-1183. https://doi.org/10.1016/j.ijproman.2017.02.009
Kracka, M., Brauers, W. K. M., & Zavadskas, E. K. (2015). Ranking heating losses in a building by applying the MULTIMOORA. Inzinerine Ekonomika-Engineering Economics, 21(4), 352-359.
Kuo, T. (2017). A modified TOPSIS with a different ranking index. European Journal of Operational Research, 260(1), 152-160. https://doi.org/10.1016/j.ejor.2016.11.052
Liou, J. J., Tamošaitienė, J., Zavadskas, E. K., & Tzeng, G. H. (2016). New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 54(1), 114-134. https://doi.org/10.1080/00207543.2015.1010747
Maity, S., & Sil, J. (2009). Color Image Segmentation using Type2 FuzzySets. International Journal of Computer and Electrical Engineering, 1(3), 376-383. https://doi.org/10.1109/ICELIE.2006.347211
Mathiyazhagan, K., Gnanavelbabu, A., & Lokesh Prabhuraj, B. (2019). A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 234-259. https://doi.org/10.1108/JAMR-09-2018-0085
Mavrotas, G., Diakoulaki, D., & Kourentzis, A. (2008). Selection among ranked projects under segmentation, policy and logical constraints. European Journal of Operational Research, 187(1), 177-192. https://doi.org/10.1016/j.ejor.2007.03.010
Mendel, J. M. (2003). Type-2 fuzzy sets: some questions and answers. IEEE Connections. Newsletter of the IEEE Neural Networks Society, 1, 10-13.
Mendel, J. M. (2007). Type-2 fuzzy sets and systems: an overview. Computational Intelligence Magazine, IEEE, 2(1), 20-29. https://doi.org/10.1109/MCI.2007.357235
Mendel, J. M., John, R., & Liu, F. (2006). Interval type-2 fuzzy logic systems made simple. Fuzzy Systems, IEEE Transactions on, 14(6), 808-821. https://doi.org/10.1109/TFUZZ.2006.879986
Mohagheghi, V., Mousavi, S. M., & Vahdani, B. (2016). A new multi-objective optimization approach for sustainable project portfolio selection: a real world application under intervalvalued fuzzy environment. Iranian Journal of Fuzzy Systems, 13(6), 41-68. https://doi.org/10.22111/IJFS.2016.2821
Mohagheghi, V., Mousavi, S. M., & Vahdani, B. (2017a). Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry. Neural Computing and Applications, 28(11), 3393-3411. https://doi.org/10.1007/s00521-016-2235-6
Mohagheghi, V., Mousavi, S. M., Aghamohagheghi, M., & Vahdani, B. (2017b) A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: a case study. International Journal of Computational Intelligence Systems, 10(1), 605-626. https://doi.org/10.2991/ijcis.2017.10.1.41
Mohagheghi, V., Mousavi, S. M., Vahdani, B., & Shahriari, M. R. (2017c). R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach. Neural Computing and Applications, 28(12), 3869-3888. https://doi.org/10.1007/s00521-016-2262-3
Moradi, N., Mousavi, S. M., & Vahdani, B. (2018). An interval type-2 fuzzy model for project-earned value analysis under uncertainty. Journal of Multiple-Valued Logic and Soft Computing, 30, 79-103.
Mousavi, S. M. (2018). A new interval-valued hesitant fuzzy pairwise comparison–compromise solution methodology: an application to cross-docking location planning. Neural Computing and Applications, 1-15. https://doi.org/10.1007/s00521-018-3355-y
Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270-279. https://doi.org/10.1016/j.omega.2012.05.002
Oztaysi, B. (2015). A group decision making approach using interval Type-2 fuzzy AHP for enterprise information systems project selection. Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.
Parvaneh, F., & El-Sayegh, S. M. (2016). Project selection using the combined approach of AHP and LP. Journal of Financial Management of Property and Construction, 21(1), 39-53. https://doi.org/10.1108/JFMPC-09-2015-0034
Pires, A. S., Ferreira, F. A., Jalali, M. S., & Chang, H. C. (2018). Barriers to real estate investments for residential rental purposes: mapping out the problem. International Journal of Strategic Property Management, 22(3), 168-178. https://doi.org/10.3846/ijspm.2018.154
Rathi, R., Khanduja, D., & Sharma, S. (2015). Six sigma project selection using fuzzy TOPSIS decision making approach. Management Science Letters, 5(5), 447-456. https://doi.org/10.5267/j.msl.2015.3.009
Sierra, L. A., Yepes, V., & Pellicer, E. (2018). A review of multicriteria assessment of the social sustainability of infrastructures. Journal of Cleaner Production, 187, 496-513. https://doi.org/10.1016/j.jclepro.2018.03.022
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Taillandier, F., Taillandier, P., Tepeli, E., Breysse, D., Mehdizadeh, R., & Khartabil, F. (2015). A multi-agent model to manage risks in construction project (SMACC). Automation in Construction, 58, 1-18. https://doi.org/10.1016/j.autcon.2015.06.005
Tavana, M., Keramatpour, M., Santos-Arteaga, F. J., & Ghorbaniane, E. (2015). A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Systems with Applications, 42(22), 8432-8444. https://doi.org/10.1016/j.eswa.2015.06.057
Umer, A., Hewage, K., Haider, H., & Sadiq, R. (2016). Sustainability assessment of roadway projects under uncertainty using Green Proforma: an index-based approach. International Journal of Sustainable Built Environment, 5(2), 604-619. https://doi.org/10.1016/j.ijsbe.2016.06.002
Yue, Z. (2011). A method for group decision-making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926-1936. https://doi.org/10.1016/j.apm.2010.11.001
Zamri, N., & Abdullah, L. (2013). A new linguistic variable in interval type-2 fuzzy entropy weight of a decision making method. Procedia Computer Science, 24, 42-53. https://doi.org/10.1016/j.procs.2013.10.026
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., Turskis, Z., Tamosaitiene, J., & Kalibatas, D. (2011). Assessment of the indoor environment of dwelling houses by applying the COPRAS-G method: Lithuania case study. Environmental Engineering and Management Journal, 10(5), 637-647. https://doi.org /10.30638/eemj.2011.087
Zhang, J., & Yang, Y. (2018). The challenges of Yunnan’s engagement on sustainable highway infrastructure project in the context of belt and road initiative. In 3rd International Symposium on Asian B&R Conference on International Business Cooperation (ISBCD 2018). Atlantis Press.
Zolfaghari, S., & Mousavi, S. M. (2018). Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty. Journal of Intelligent and Fuzzy Systems, 35, 639-649. https://doi.org/10.3233/JIFS-162013
Zolfani, S. H., Pourhossein, M., Yazdani, M., & Zavadskas, E. K. (2018). Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57(1), 357-365. https://doi.org/10.1016/j.aej.2016.11.002
Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture. Sustainability, 10(5), 1626. https://doi.org/10.3390/su10051626
Atkinson, R., Crawford, L., & Ward, S. (2006). Fundamental uncertainties in projects and the scope of project management. International Journal of Project Management, 24(8), 687-698. https://doi.org/10.1016/j.ijproman.2006.09.011
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. https://doi.org/10.1007/s00170-010-2972-0
Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, (1), 5-24. https://doi.org/10.3846/tede.2010.01
Brauers, W. K., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2006). Evaluating redevelopment alternatives of buildings with an application of the MOORA method. Simulation and Optimisation in Business and Industry, 131-135. Retrieved from http://hdl.handle.net/10067/599440151162165141
Chakraborty, S. (2011). Applications of the MOORA method for decision making in manufacturing environment. The International Journal of Advanced Manufacturing Technology, 54(912), 1155-1166. https://doi.org/10.1007/s00170-010-2972-0
Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860. https://doi.org/10.1016/j.matdes.2010.07.010
Chen, S. M., & Lee, L. W. (2010). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with Applications, 37(1), 824-833. https://doi.org/10.1016/j.eswa.2009.06.094
Chiao, K. P. (2014, November). Interval type-2 fuzzy sets extension of analytic hierarchy process with application to new product development project screening. In IEEE 2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY), (pp. 111-116). https://doi.org/10.1109/iFUZZY.2014.7091242
Davoudabadi, R., Mousavi, S. M., Šaparauskas, J., & Gitinavard, H. (2019). Solving construction project selection problem by a new uncertain weighting and ranking based on compromise solution with linear assignment approach. Journal of Civil Engineering and Management, 25(3), 241-251. https://doi.org/10.3846/jcem.2019.8656
Dorfeshan, Y., Mousavi, S. M., Mohagheghi, V., & Vahdani, B., (2018). Selecting project-critical path by a new interval type2 fuzzy decision methodology based on MULTIMOORA, MOOSRA and TPOP methods. Computers & Industrial Engineering, 120, 160-178. https://doi.org/10.1016/j.cie.2018.04.015
Dorfeshan, Y., & Mousavi, S. M. (2019). A new interval type-2 fuzzy decision method with an extended relative preference relation and entropy to project critical path selection, International Journal of Fuzzy System Applications, 8(1), 19-47. https://doi.org/10.4018/IJFSA.2019010102
Ebrahiminejad, M., Shakeri, E., Ardeshir, A., & Zarandi, M. F. (2018). An object-oriented model for construction method selection in buildings using fuzzy information. Energy and Buildings, 178, 228-241. https://doi.org/10.1016/j.enbuild.2018.08.002
Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A multicriteria decision-making model to choose the best option for sustainable construction management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
Gitinavard, H., Foroozesh, N., Mousavi, S. M., & Mohagheghi, V. (2018). Soft computing based on a selection index method with risk preferences under uncertainty: applications to construction industry, International Journal of Computational Systems Engineering, 4(4), 238-247. https://doi.org/10.1504/IJCSYSE.2018.095576
Grady, C. A., He, X., & Peeta, S. (2015). Integrating social network analysis with analytic network process for international development project selection. Expert Systems with Applications, 42(12), 5128-5138. https://doi.org/10.1016/j.eswa.2015.02.039
Hafezalkotob, A., Hafezalkotob, A., Liao, H., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: theory, developments, applications, and challenges. Information Fusion, 51, 145-177. https://doi.org/10.1016/j.inffus.2018.12.002
Haghighi, M. H., Mousavi, S. M., & Mohagheghi, V. (2019). A new soft computing model based on linear assignment and linear programming technique for multidimensional analysis of preference with interval type-2 fuzzy sets. Applied Soft Computing, 77, 780–796. https://doi.org/10.1016/j.asoc.2019.01.048
Haghighi, M. H., Mousavi, S. M., Antucheviciene, J., & Mohagheghi, V. (2019). A new analytical methodology to handle time-cost trade-off problem with considering quality loss cost under interval-valued fuzzy uncertainty. Technological and Economic Development of Economy, 25(2), 277-299. https://doi.org/10.3846/tede.2019.8422
Hsu, L. C. (2014). A hybrid multiple criteria decision-making model for investment decision making. Journal of Business Economics and Management, 15(3), 509-529. https://doi.org/10.3846/16111699.2012.722563
Hu, J., Zhang, Y., Chen, X., & Liu, Y. (2013). Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowledge-Based Systems, 43, 21-29. https://doi.org/10.1016/j.knosys.2012.11.007
Kildienė, S., Kaklauskas, A., & Zavadskas, E. K. (2011). COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. Journal of Business Economics and Management, 12(2), 417-434. https://doi.org/10.3846/16111699.2011.575190
Kiliç, M., & Kaya, İ. (2015). Investment project evaluation by a decision making methodology based on type-2 fuzzy sets. Applied Soft Computing, 27, 399-410. https://doi.org/10.1016/j.asoc.2014.11.028
Kivilä, J., Martinsuo, M., & Vuorinen, L. (2017). Sustainable project management through project control in infrastructure projects. International Journal of Project Management, 35(6), 1167-1183. https://doi.org/10.1016/j.ijproman.2017.02.009
Kracka, M., Brauers, W. K. M., & Zavadskas, E. K. (2015). Ranking heating losses in a building by applying the MULTIMOORA. Inzinerine Ekonomika-Engineering Economics, 21(4), 352-359.
Kuo, T. (2017). A modified TOPSIS with a different ranking index. European Journal of Operational Research, 260(1), 152-160. https://doi.org/10.1016/j.ejor.2016.11.052
Liou, J. J., Tamošaitienė, J., Zavadskas, E. K., & Tzeng, G. H. (2016). New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 54(1), 114-134. https://doi.org/10.1080/00207543.2015.1010747
Maity, S., & Sil, J. (2009). Color Image Segmentation using Type2 FuzzySets. International Journal of Computer and Electrical Engineering, 1(3), 376-383. https://doi.org/10.1109/ICELIE.2006.347211
Mathiyazhagan, K., Gnanavelbabu, A., & Lokesh Prabhuraj, B. (2019). A sustainable assessment model for material selection in construction industries perspective using hybrid MCDM approaches. Journal of Advances in Management Research, 16(2), 234-259. https://doi.org/10.1108/JAMR-09-2018-0085
Mavrotas, G., Diakoulaki, D., & Kourentzis, A. (2008). Selection among ranked projects under segmentation, policy and logical constraints. European Journal of Operational Research, 187(1), 177-192. https://doi.org/10.1016/j.ejor.2007.03.010
Mendel, J. M. (2003). Type-2 fuzzy sets: some questions and answers. IEEE Connections. Newsletter of the IEEE Neural Networks Society, 1, 10-13.
Mendel, J. M. (2007). Type-2 fuzzy sets and systems: an overview. Computational Intelligence Magazine, IEEE, 2(1), 20-29. https://doi.org/10.1109/MCI.2007.357235
Mendel, J. M., John, R., & Liu, F. (2006). Interval type-2 fuzzy logic systems made simple. Fuzzy Systems, IEEE Transactions on, 14(6), 808-821. https://doi.org/10.1109/TFUZZ.2006.879986
Mohagheghi, V., Mousavi, S. M., & Vahdani, B. (2016). A new multi-objective optimization approach for sustainable project portfolio selection: a real world application under intervalvalued fuzzy environment. Iranian Journal of Fuzzy Systems, 13(6), 41-68. https://doi.org/10.22111/IJFS.2016.2821
Mohagheghi, V., Mousavi, S. M., & Vahdani, B. (2017a). Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry. Neural Computing and Applications, 28(11), 3393-3411. https://doi.org/10.1007/s00521-016-2235-6
Mohagheghi, V., Mousavi, S. M., Aghamohagheghi, M., & Vahdani, B. (2017b) A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: a case study. International Journal of Computational Intelligence Systems, 10(1), 605-626. https://doi.org/10.2991/ijcis.2017.10.1.41
Mohagheghi, V., Mousavi, S. M., Vahdani, B., & Shahriari, M. R. (2017c). R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach. Neural Computing and Applications, 28(12), 3869-3888. https://doi.org/10.1007/s00521-016-2262-3
Moradi, N., Mousavi, S. M., & Vahdani, B. (2018). An interval type-2 fuzzy model for project-earned value analysis under uncertainty. Journal of Multiple-Valued Logic and Soft Computing, 30, 79-103.
Mousavi, S. M. (2018). A new interval-valued hesitant fuzzy pairwise comparison–compromise solution methodology: an application to cross-docking location planning. Neural Computing and Applications, 1-15. https://doi.org/10.1007/s00521-018-3355-y
Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270-279. https://doi.org/10.1016/j.omega.2012.05.002
Oztaysi, B. (2015). A group decision making approach using interval Type-2 fuzzy AHP for enterprise information systems project selection. Multiple-Valued Logic and Soft Computing, 24(5-6), 475-500.
Parvaneh, F., & El-Sayegh, S. M. (2016). Project selection using the combined approach of AHP and LP. Journal of Financial Management of Property and Construction, 21(1), 39-53. https://doi.org/10.1108/JFMPC-09-2015-0034
Pires, A. S., Ferreira, F. A., Jalali, M. S., & Chang, H. C. (2018). Barriers to real estate investments for residential rental purposes: mapping out the problem. International Journal of Strategic Property Management, 22(3), 168-178. https://doi.org/10.3846/ijspm.2018.154
Rathi, R., Khanduja, D., & Sharma, S. (2015). Six sigma project selection using fuzzy TOPSIS decision making approach. Management Science Letters, 5(5), 447-456. https://doi.org/10.5267/j.msl.2015.3.009
Sierra, L. A., Yepes, V., & Pellicer, E. (2018). A review of multicriteria assessment of the social sustainability of infrastructures. Journal of Cleaner Production, 187, 496-513. https://doi.org/10.1016/j.jclepro.2018.03.022
Stanujkic, D., Magdalinovic, N., Stojanovic, S., & Jovanovic, R. (2012). Extension of ratio system part of MOORA method for solving decision-making problems with interval data. Informatica, 23(1), 141-154.
Taillandier, F., Taillandier, P., Tepeli, E., Breysse, D., Mehdizadeh, R., & Khartabil, F. (2015). A multi-agent model to manage risks in construction project (SMACC). Automation in Construction, 58, 1-18. https://doi.org/10.1016/j.autcon.2015.06.005
Tavana, M., Keramatpour, M., Santos-Arteaga, F. J., & Ghorbaniane, E. (2015). A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Systems with Applications, 42(22), 8432-8444. https://doi.org/10.1016/j.eswa.2015.06.057
Umer, A., Hewage, K., Haider, H., & Sadiq, R. (2016). Sustainability assessment of roadway projects under uncertainty using Green Proforma: an index-based approach. International Journal of Sustainable Built Environment, 5(2), 604-619. https://doi.org/10.1016/j.ijsbe.2016.06.002
Yue, Z. (2011). A method for group decision-making based on determining weights of decision makers using TOPSIS. Applied Mathematical Modelling, 35(4), 1926-1936. https://doi.org/10.1016/j.apm.2010.11.001
Zamri, N., & Abdullah, L. (2013). A new linguistic variable in interval type-2 fuzzy entropy weight of a decision making method. Procedia Computer Science, 24, 42-53. https://doi.org/10.1016/j.procs.2013.10.026
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., Turskis, Z., Tamosaitiene, J., & Kalibatas, D. (2011). Assessment of the indoor environment of dwelling houses by applying the COPRAS-G method: Lithuania case study. Environmental Engineering and Management Journal, 10(5), 637-647. https://doi.org /10.30638/eemj.2011.087
Zhang, J., & Yang, Y. (2018). The challenges of Yunnan’s engagement on sustainable highway infrastructure project in the context of belt and road initiative. In 3rd International Symposium on Asian B&R Conference on International Business Cooperation (ISBCD 2018). Atlantis Press.
Zolfaghari, S., & Mousavi, S. M. (2018). Construction-project risk assessment by a new decision model based on De-Novo multi-approaches analysis and hesitant fuzzy sets under uncertainty. Journal of Intelligent and Fuzzy Systems, 35, 639-649. https://doi.org/10.3233/JIFS-162013
Zolfani, S. H., Pourhossein, M., Yazdani, M., & Zavadskas, E. K. (2018). Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57(1), 357-365. https://doi.org/10.1016/j.aej.2016.11.002