ArticleInternational journal of environmental research and public health2016
Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps.BMC medical informatics and decision making · 2018Pooled it
- A novel Fractional fuzzy approach for multi-criteria decision-making in medical waste management.Scientific reports · 2025Article
- Selection of healthcare waste management treatment using fuzzy rough numbers and Aczel-Alsina Function.Engineering applications of artificial intelligence · 2023Article
- Developing and evaluating cybersecurity competencies for students in computing programs.PeerJ. Computer science · 2022Article
- Pythagorean fuzzy entropy measure-based complex proportional assessment technique for solving multi-criteria healthcare waste treatment problem.Granular computing · 2022Article
- Application of interval-valued Pythagorean fuzzy VIKOR approach for petroleum sludge treatment technology evaluation and selection.Environmental science and pollution research international · 2021Article
- Medical waste management in three areas of rural China.PloS one · 2018Article
- Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach.International journal of environmental research and public health · 2017Article
- A Group Decision Framework with Intuitionistic Preference Relations and Its Application to Low Carbon Supplier Selection.International journal of environmental research and public health · 2016Article
- Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations.International journal of environmental research and public health · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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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.
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