PMID- 31969081
OWN - NLM
STAT- MEDLINE
DCOM- 20200602
LR  - 20200602
IS  - 1096-3669 (Electronic)
VI  - 38
IP  - 6
DP  - 2020 Jun
TI  - A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized 
      dismantling center: a case study of Istanbul.
PG  - 660-672
LID - 10.1177/0734242X19899729 [doi]
AB  - As the number of end-of-life vehicles (ELVs) increases rapidly, their management 
      has become one of the most important environmental topics worldwide. This study 
      is conducted to evaluate various alternatives for location selection of an 
      authorized dismantling center (ADC) for ELVs using a multi-criteria 
      decision-making (MCDM) approach. An intuitionistic fuzzy MCDM-based combinative 
      distance-based assessment (CODAS) approach is proposed to aid waste managers and 
      solve their problem. The intuitionistic fuzzy weighted averaging operator is 
      utilized to aggregate individual opinions of decision-makers into a group 
      opinion. The intuitionistic fuzzy Euclidean and Hamming distances are used to 
      calculate the assessment score of alternatives. A real-life case study of 
      Istanbul is provided to illustrate how this novel intuitionistic fuzzy MCDM-based 
      CODAS approach can be used for alternative selection in real-world applications. 
      The comparison with the available state-of-the-art intuitionistic fuzzy set-based 
      MCDM approaches approves the validity and consistency of the proposed 
      intuitionistic fuzzy CODAS approach. The intuitionistic fuzzy CODAS, WASPAS, and 
      TOPSIS approaches generate exactly the same ordering of alternatives for the new 
      ADC in Istanbul. The results show that the intuitionistic fuzzy CODAS approach 
      indicates valid results and is an effective decision-making technique for 
      vagueness and uncertainty nature of linguistic assessments.
FAU - Karagoz, Selman
AU  - Karagoz S
AUID- ORCID: 0000-0002-6594-1800
AD  - Computational Optimisation and Learning (COL) Lab, School of Computer Science, 
      University of Nottingham, UK.
FAU - Deveci, Muhammet
AU  - Deveci M
AD  - Computational Optimisation and Learning (COL) Lab, School of Computer Science, 
      University of Nottingham, UK.
FAU - Simic, Vladimir
AU  - Simic V
AD  - Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia.
FAU - Aydin, Nezir
AU  - Aydin N
AD  - Department of Industrial Engineering, Yildiz Technical University, Besiktas, 
      Istanbul, Turkey.
FAU - Bolukbas, Ufuk
AU  - Bolukbas U
AD  - Department of Industrial Engineering, Yildiz Technical University, Besiktas, 
      Istanbul, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20200123
PL  - England
TA  - Waste Manag Res
JT  - Waste management & research : the journal of the International Solid Wastes and 
      Public Cleansing Association, ISWA
JID - 9881064
SB  - IM
MH  - *Decision Making
MH  - *Fuzzy Logic
MH  - Uncertainty
OTO - NOTNLM
OT  - CODAS
OT  - End-of-life vehicle
OT  - authorized dismantling center
OT  - intuitionistic fuzzy set
OT  - location selection
OT  - multi-criteria decision-making
EDAT- 2020/01/24 06:00
MHDA- 2020/06/03 06:00
CRDT- 2020/01/24 06:00
PHST- 2020/01/24 06:00 [pubmed]
PHST- 2020/06/03 06:00 [medline]
PHST- 2020/01/24 06:00 [entrez]
AID - 10.1177/0734242X19899729 [doi]
PST - ppublish
SO  - Waste Manag Res. 2020 Jun;38(6):660-672. doi: 10.1177/0734242X19899729. Epub 2020 
      Jan 23.