Intuitionistic Fuzzy DEMATEL for Municipal Solid Waste Treatment Technologies


  • Norsyahida Zulkifli
  • Lazim Abdullah



Municipal solid waste, Solid waste treatment, Intuitionistic fuzzy set, DEMATEL, Multi-criteria decision making


Nowadays municipal solid waste (MSW) has gained attention in Malaysia. It is an unresolved issue since MSW management system applies improper and unsustainable MSW treatment technologies. According to the rapid urbanization, MSW is outstripping generated and this situation could affect the environmental, health and safety of the citizens. Thus, this study aims to visualise the most viable MSW treatment using decision making trial and evaluation laboratory (DEMATEL).  Intuitionistic fuzzy (IF) sets is applied in linguistic scales of DEMATEL to deal with the linguistic imprecision and vagueness of the human judgment. Six alternatives of waste treatment technologies were identified and three experts were invited to provide linguistic evaluation in this case study. The linguistic evaluations were then analyzed using the five-step computational of intuitionistic fuzzy DEMATEL (IF-DEMATEL). The result shows anaerobic digestion as the most sustainable MSW treatment in Malaysia.




[1] Z. Fodor. and J. J. Klemeš. Waste as alternative fuel – minimising emissions and effluents by advanced design. Process Saf Environ Prot . 2012;90(3):263–84.

[2] Z. Z. Noor ZZ, R. O. Yusuf, A. H. Abba, M. A. Abu Hassan, M. F. Mohd Din.. “An overview for energy recovery from municipal solid wastes (MSW) in Malaysia scenarioâ€. Renew Sustain Energy Rev 2013;20, pp. 378–84.

[3] Malaysia Second National Communication to the UNFCCC. ISBN 978-983-44294-9-2; 2007

[4] A. Gabus. and E. Fontela Perceptions of the world problem atique: Communication procedure, communicating with those bearing collective responsibility, DEMATEL report no. 1. Battelle Geneva Research Centre, Switzerland Geneva. 1973.

[5] Y. J. Chiu, H. C. Chen, G.H. Tzeng, and J. Z. Shyu. “Marketing strategy based on customer behaviour for the LCD-TVâ€. International Journal of Management & Decision Making 2006. 7, 143–165.

[6] C. Y. Huang, and G. H. Tzeng, “Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industryâ€. Technovation, 2007. 27(12), 744–765.

[7] M. Tamura, H. Nagata & K. Akazawa Extraction and systems analysis of factors that prevent safety and security by structural models. In 41st SICE annual conference, Osaka, Japan. 2002.

[8] K. Atanassov, “Intuitionistic fuzzy setsâ€. Fuzzy Sets Systems, 1986. 20(1),87–96.

[9] K. Govindan, R. Khodaverdi, & A. Vafadarnikjoo, “ Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chainâ€. Expert Systems with Applications, 2015, 42, 7207–7220.

[10] A. Vafadarnikjoo, M. Mobin, and S. M. A. K. Firouzabadi, “An intuitionistic fuzzy_based DEMATEL to rank risks of construction projects,†in Proc. IEOM’16,2016, pp. 1366-1377.

[11] S. T. Tan., W. S. Ho., C. T. Lee., M. R. Taib. and C. S. Ho. “Energy, economic and environmental (3E) analysis of waste-to-energy (WTE) strategies for municipal solid waste (MSW) management in Malaysiaâ€. Energy Conversion and Management. vol.102, pp. 111-120, 2015.

View Full Article: