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Int. J. Environ. Res. Public Health 2016, 13(6), 562; doi:10.3390/ijerph13060562

Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method

1
School of Management, Shanghai University, Shanghai 200444, China
2
School of Economics and Management, Tongji University, Shanghai 200092, China
3
Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
*
Author to whom correspondence should be addressed.
Academic Editor: Reiner Leidl
Received: 21 March 2016 / Revised: 26 May 2016 / Accepted: 31 May 2016 / Published: 4 June 2016
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Abstract

Health-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
Keywords: health-care waste management; interval 2-tuple; TOPSIS; distance measures; HCW treatment technology health-care waste management; interval 2-tuple; TOPSIS; distance measures; HCW treatment technology
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

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.

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