PMID- 34029824
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20210615
LR  - 20210615
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 788
DP  - 2021 Sep 20
TI  - Assessment of alternative fuel vehicles for sustainable road transportation of 
      United States using integrated fuzzy FUCOM and neutrosophic fuzzy MARCOS 
      methodology.
PG  - 147763
LID - S0048-9697(21)02834-5 [pii]
LID - 10.1016/j.scitotenv.2021.147763 [doi]
AB  - Greenhouse gas (GHG) emissions are one of the biggest challenging environmental 
      problems globally, which leads countries to reduce their environmental impact in 
      various disciplines. One of the most negative effects on the environment can be 
      seen in the transportation area. It has been seen as a promising way to reduce 
      emissions from transport with various alternative fuel vehicles (AFVs). This 
      study aims to develop a multi-criteria decision-making (MCDM) methodology to 
      prioritize the various AFVs for sustainable transport. The assessment of AFVs can 
      be considered an MCDM problem due to the involvement of several conflicting 
      criteria. We thus develop a novel multi-criteria decision-making methodology 
      based on fuzzy Full Consistency Method (FUCOM-F) and neutrosophic fuzzy 
      Measurement Alternatives and Ranking according to the COmpromise Solution 
      (MARCOS) framework for the assessment of the AFVs. The proposed methodology is 
      applied to prioritize the various AFVs in New Jersey, U.S. According to the 
      findings, the most significant drivers for AFV selection are purchase cost, 
      energy cost, and social benefits, respectively. The evaluation results also show 
      that electric vehicles can serve as an effective approach to reducing carbon 
      emissions for New Jersey. In addition, a comparative analysis is conducted to 
      indicate the out-performance of the proposed multi-criteria methodology.
CI  - Copyright (c) 2021 Elsevier B.V. All rights reserved.
FAU - Pamucar, Dragan
AU  - Pamucar D
AD  - Department of Logistics, Military Academy, University of Defence in Belgrade, 
      11000 Belgrade, Serbia.
FAU - Ecer, Fatih
AU  - Ecer F
AD  - Department of Business Administrative, Faculty of Economics and Administrative 
      Sciences, Afyon Kocatepe University, ANS Campus, 03030 Afyonkarahisar, Turkey.
FAU - Deveci, Muhammet
AU  - Deveci M
AD  - Department of Industrial Engineering, Turkish Naval Academy, National Defence 
      University, 34940 Tuzla, Istanbul, Turkey. Electronic address: 
      muhammetdeveci@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20210515
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
SB  - IM
OTO - NOTNLM
OT  - Alternative fuel vehicles
OT  - Fuzzy FUCOM
OT  - GHG emissions
OT  - MARCOS
OT  - Neutrosophic fuzzy sets
OT  - Sustainable road transportation
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2021/05/25 06:00
MHDA- 2021/05/25 06:01
CRDT- 2021/05/24 20:27
PHST- 2021/04/02 00:00 [received]
PHST- 2021/05/04 00:00 [revised]
PHST- 2021/05/10 00:00 [accepted]
PHST- 2021/05/25 06:00 [pubmed]
PHST- 2021/05/25 06:01 [medline]
PHST- 2021/05/24 20:27 [entrez]
AID - S0048-9697(21)02834-5 [pii]
AID - 10.1016/j.scitotenv.2021.147763 [doi]
PST - ppublish
SO  - Sci Total Environ. 2021 Sep 20;788:147763. doi: 10.1016/j.scitotenv.2021.147763. 
      Epub 2021 May 15.