PMID- 37363024
OWN - NLM
STAT- Publisher
LR  - 20230928
IS  - 1573-2975 (Electronic)
IS  - 1387-585X (Print)
IS  - 1387-585X (Linking)
DP  - 2023 Apr 24
TI  - Assessment of healthcare waste treatment methods using an interval-valued 
      intuitionistic fuzzy double normalization-based multiple aggregation approach.
PG  - 1-28
LID - 10.1007/s10668-023-03154-8 [doi]
AB  - Healthcare waste management has been an extensively attractive topic recently 
      since it is one of the key concerns regarding both environment and public health, 
      predominantly in developing nations. The optimization of the treatment procedure 
      for healthcare waste is indeed a complex "multi-criteria decision-making (MCDM)" 
      problem that involves contradictory and interweaved critical criteria. To 
      successfully handle this issue, this study extends the original method, named the 
      "double normalization-based multi-aggregation (DNMA)" approach, with 
      "interval-valued intuitionistic fuzzy sets (IVIFSs)" for decision-making problems 
      taking criteria in terms of benefit or cost types. This method involves two 
      target-based normalizations and three subordinate utility models. To estimate the 
      criteria weights, we propose a new parametric divergence measure and discuss the 
      feasibility of the developed divergence measure based on existing divergence 
      measures for IVIFSs. Further, the developed framework is implemented to elucidate 
      the "healthcare waste treatment (HCWT)" problem. The comparative and sensitivity 
      analyses of the outcomes indicate that the proposed approach efficiently tackles 
      the problem of HCWT selection. The outcomes show that steam sterilization (0.462) 
      is the optimal one for HCWT. The prioritization options, obtained by presented 
      approach, are dependable and suitable, which are steam sterilization  succeeds microwave 
       succeeds incineration  succeeds landfilling.
CI  - (c) The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer 
      Nature or its licensor (e.g. a society or other partner) holds exclusive rights 
      to this article under a publishing agreement with the author(s) or other 
      rightsholder(s); author self-archiving of the accepted manuscript version of this 
      article is solely governed by the terms of such publishing agreement and 
      applicable law.
FAU - Al-Barakati, Abdullah
AU  - Al-Barakati A
AD  - Faculty of Computing and Information Technology, King Abdulaziz University, 
      Jeddah, 21589 Saudi Arabia. GRID: grid.412125.1. ISNI: 0000 0001 0619 1117
FAU - Rani, Pratibha
AU  - Rani P
AUID- ORCID: 0000-0002-9186-4167
AD  - Department of Mathematics, Rajiv Gandhi National Institute of Youth Development, 
      Sriperumbudur, Tamil Nadu 602105 India.
LA  - eng
PT  - Journal Article
DEP - 20230424
PL  - Netherlands
TA  - Environ Dev Sustain
JT  - Environment, development and sustainability
JID - 101769312
PMC - PMC10123018
OTO - NOTNLM
OT  - Divergence measure
OT  - Double normalization-based multiple aggregation method
OT  - Healthcare waste treatment
OT  - Interval-valued intuitionistic fuzzy sets
OT  - Waste residuals
EDAT- 2023/06/26 19:07
MHDA- 2023/06/26 19:07
PMCR- 2023/04/24
CRDT- 2023/06/26 13:12
PHST- 2021/11/05 00:00 [received]
PHST- 2023/03/11 00:00 [accepted]
PHST- 2023/06/26 19:07 [pubmed]
PHST- 2023/06/26 19:07 [medline]
PHST- 2023/06/26 13:12 [entrez]
PHST- 2023/04/24 00:00 [pmc-release]
AID - 3154 [pii]
AID - 10.1007/s10668-023-03154-8 [doi]
PST - aheadofprint
SO  - Environ Dev Sustain. 2023 Apr 24:1-28. doi: 10.1007/s10668-023-03154-8.