Sustainable Construction Project Portfolio Selection under Interval- Valued Type-2 Fuzzy Sets

Document Type: Research Paper


1 Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

2 Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran


Choosing the right set of projects is the first step of project oriented firms in strategic project portfolio management. Since economic growth depends on environmental and social issues, sustainable development has been an essential part of firms' plans to keep their competitive advantage. Moreover, market conditions, fast worldwide changes and other similar issues have given these issue ever-growing uncertain elements. As a result, this paper provides a method of sustainable construction-project portfolio selection under interval-valued type-2 fuzzy sets. This method consists of two main parts. The first level evaluates the proposed projects and omits the unsuitable ones. Then, in the second level, the portfolio is selected by means of mathematical programming. Eventually, to display applicability of the method, an application example is presented and solved.


Main Subjects

  1. Better, M. and Glover, F. (2006). “Selecting project portfolios by optimizing simulations”, Engineering Economist, Vol. 51, No. 2, PP. 81- 97.
  2. Zou, P. X., Zhang, G. and Wang, J. (2007). “Understanding the key risks in construction projects in China”, International Journal of Project Management, Vol. 25, No. 6, PP. 601-614.
  3. Smith, N. J., Merna, T. and Jobling, P. (2009).  Managing risk: in construction projects, John Wiley & Sons.
  4. Alidi, A. S. (1996). “Use of the analytic hierarchy process to measure the initial viability of industrial projects”, International Journal of Project Management, Vol. 14, No. 4, PP. 205- 208.
  5. Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, F. H. and Tavana, M. (2013). “A hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selection”, Information Sciences, Vol. 220 , PP. 442-462.
  6. Robert, K. W., Parris, T. M. and Leiserowitz, A. A. (2005). “What is sustainable development? Goals, indicators, values, and practice”, Environment: Science and Policy for Sustainable Development, Vol. 47, No. 3, PP. 8- 21.
  7. Hutchins, M. J. and Sutherland, J. W. (2008). “An exploration of measures of social sustainability and their application to supply chain decisions”, Journal of Cleaner Production, Vol. 16, No. 15, PP. 1688- 1698.
  8. Mavrotas, G. and Pechak, O. (2013). “Combining mathematical programming and Monte Carlo simulation to deal with uncertainty in energy project portfolio selection”, In Assessment and Simulation Tools for Sustainable Energy Systems, Vol. 129, Springer, London, PP. 333- 356.
  9. Mohanty, R. P. (1992). “Project selection by a multiple-criteria decision-making method: An example from a developing country”, International Journal of Project Management, Vol. 10, No. 1, PP. 31- 38.
  10. Martinsuo, M. (2013). “Project portfolio management in practice and in context”, International Journal of Project Management, Vol. 31, No. 6, PP. 794- 803.
  11. Silvius, A. J. and Schipper, R. P. (2014). “Sustainability in project management: A literature review and impact analysis”, Social Business, Vol. 4, No. 1, PP. 63- 96.
  12. Altuntas, S. and Dereli, T. (2015). “A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects”, Expert Systems with Applications, Vol. 42, No. 3, PP. 1003- 1012.
  13. Ebrat, M. and Ghodsi, R. (2011). “Risk assessment of construction projects using network based adaptive fuzzy system”, International Journal of Academic Research, Vol. 3, No. 1.
  14. Ebrahimnejad, S., Mousavi, S. M., Tavakkoli-Moghaddam, R., Hashemi, H. and Vahdani, B. (2012). “A novel two-phase group decision making approach for construction project selection in a fuzzy environment”, Applied Mathematical Modelling, Vol. 36, No. 9, PP. 4197- 4217.
  15. Abbasianjahromi, H. and Rajaie, H. (2012). “Developing a project portfolio selection model for contractor firms considering the risk factor”, Journal of Civil Engineering and Management, Vol. 18, No. 6, PP. 879- 889.
  16. Vahdani, B., Mousavi, S. M., Hashemi, H., Mousakhani, M. and Ebrahimnejad, S. (2014). “A new hybrid model based on least squares support vector machine for project selection problem in construction industry”, Arabian Journal for Science and Engineering, Vol. 39, No. 5, PP. 4301- 4314.
  17. Bezdek, J. C. (2013). Pattern recognition with fuzzy objective function algorithms, Springer Science & Business Media.
  18. Celikyilmaz, A. and Turksen, I. B. (2009). “Modeling uncertainty with fuzzy logic”, Studies in Fuzziness and soft Computing, Vol. 240 , PP. 149-215.
  19. Türkşen, I. B. (1999). “Type I and Type II fuzzy system modeling”, Fuzzy Sets and Systems, Vol. 106, No. 1, PP. 11- 34.
  20. Mendel, J. M. (2003). “Type-2 fuzzy sets: some questions and answers”, IEEE Connections, Newsletter of the IEEE Neural Networks Society, Vol. 1, PP. 10-13.
  21. Mendel, J. M., John, R. and Liu, F. (2006). “Interval type-2 fuzzy logic systems made simple”, Fuzzy Systems, IEEE Transactions on, Vol. 14, No. 6, PP. 808- 821.
  22. Chen, S. M. and Lee, L. W. (2010). “Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method”, Expert Systems with Applications, Vol. 37, No. 4, PP. 2790- 2798.
  23. Chen, T. Y. (2013). “A linear assignment method for multiple-criteria decision analysis with interval type-2 fuzzy sets”, Applied Soft Computing, Vol. 13, No. 5, PP. 2735- 2748.
  24.  Zhang, Z. and Zhang, S. (2013). “A novel approach to multi attribute group decision making based on trapezoidal interval type-2 fuzzy soft sets”, Applied Mathematical Modelling, Vol. 37, No. 7, PP. 4948- 4971.
  25. Deng, H. (2014). “Comparing and ranking fuzzy numbers using ideal solutions”, Applied Mathematical Modelling, Vol. 38, No. 5, PP. 1638- 1646.
  26. Wei, C. C. and Chang, H. W. (2011). “A new approach for selecting portfolio of new product development projects”, Expert Systems with Applications, Vol. 38, No. 1, PP. 429-434.
  27. Sari, I. U. and Kahraman, C. (2015). “Interval type-2 fuzzy capital budgeting”, International Journal of Fuzzy Systems, Vol. 17, No. 4, PP. 635- 646.
  28. Mohagheghi, V., Mousavi, S. M., Vahdani, B. and Shahriari, M. R. (2016). “R&D project evaluation and project portfolio selection by a new interval type-2 fuzzy optimization approach”, Neural Computing and Applications, Article in press, DOI: 10.1007/s00521-016-2262-3