PMID- 27271652
OWN - NLM
STAT- MEDLINE
DCOM- 20170626
LR  - 20181202
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 13
IP  - 6
DP  - 2016 Jun 4
TI  - Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple 
      Induced TOPSIS Method.
LID - 10.3390/ijerph13060562 [doi]
LID - 562
AB  - 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.
FAU - Lu, Chao
AU  - Lu C
AD  - School of Management, Shanghai University, Shanghai 200444, China. 
      chaolu@shu.edu.cn.
FAU - You, Jian-Xin
AU  - You JX
AD  - School of Economics and Management, Tongji University, Shanghai 200092, China. 
      yjx2256@vip.sina.com.
FAU - Liu, Hu-Chen
AU  - Liu HC
AD  - School of Management, Shanghai University, Shanghai 200444, China. 
      huchenliu@foxmail.com.
AD  - School of Economics and Management, Tongji University, Shanghai 200092, China. 
      huchenliu@foxmail.com.
FAU - Li, Ping
AU  - Li P
AD  - Zhoupu Hospital Affiliated to Shanghai University of Medicine & Health 
      Sciences, Shanghai 201318, China. yiwuchulp@126.com.
LA  - eng
PT  - Journal Article
DEP - 20160604
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
RN  - 0 (Medical Waste Disposal)
SB  - IM
MH  - China
MH  - Cities
MH  - Conservation of Natural Resources/*methods
MH  - *Decision Support Techniques
MH  - Medical Waste Disposal/*methods
MH  - Models, Theoretical
MH  - Waste Management/*methods
PMC - PMC4924019
OTO - NOTNLM
OT  - HCW treatment technology
OT  - TOPSIS
OT  - distance measures
OT  - health-care waste management
OT  - interval 2-tuple
EDAT- 2016/06/09 06:00
MHDA- 2017/06/27 06:00
PMCR- 2016/06/01
CRDT- 2016/06/09 06:00
PHST- 2016/03/21 00:00 [received]
PHST- 2016/05/26 00:00 [revised]
PHST- 2016/05/31 00:00 [accepted]
PHST- 2016/06/09 06:00 [entrez]
PHST- 2016/06/09 06:00 [pubmed]
PHST- 2017/06/27 06:00 [medline]
PHST- 2016/06/01 00:00 [pmc-release]
AID - ijerph13060562 [pii]
AID - ijerph-13-00562 [pii]
AID - 10.3390/ijerph13060562 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2016 Jun 4;13(6):562. doi: 
      10.3390/ijerph13060562.