Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method
AbstractHealth-care waste (HCW) management is a major challenge for municipalities, particularly in the cities of developing nations. Selecting the best treatment technology for HCW can be regarded as a complex multi-criteria decision making (MCDM) issue involving a number of alternatives and multiple evaluation criteria. In addition, decision makers tend to express their personal assessments via multi-granularity linguistic term sets because of different backgrounds and knowledge, some of which may be imprecise, uncertain and incomplete. Therefore, the main objective of this study is to propose a new hybrid decision making approach combining interval 2-tuple induced distance operators with the technique for order preference by similarity to an ideal solution (TOPSIS) for tackling HCW treatment technology selection problems with linguistic information. The proposed interval 2-tuple induced TOPSIS (ITI-TOPSIS) can not only model the uncertainty and diversity of the assessment information given by decision makers, but also reflect the complex attitudinal characters of decision makers and provide much more complete information for the selection of the optimum disposal alternative. Finally, an empirical example in Shanghai, China is provided to illustrate the proposed decision making method, and results show that the ITI-TOPSIS proposed in this paper can solve the problem of HCW treatment technology selection effectively. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lu, C.; You, J.-X.; Liu, H.-C.; Li, P. Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method. Int. J. Environ. Res. Public Health 2016, 13, 562.
Lu C, You J-X, Liu H-C, Li P. Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method. International Journal of Environmental Research and Public Health. 2016; 13(6):562.Chicago/Turabian Style
Lu, Chao; You, Jian-Xin; Liu, Hu-Chen; Li, Ping. 2016. "Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method." Int. J. Environ. Res. Public Health 13, no. 6: 562.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.