PMID- 34493927
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 1573-2975 (Electronic)
IS  - 1387-585X (Print)
IS  - 1387-585X (Linking)
VI  - 24
IP  - 5
DP  - 2022
TI  - Low-carbon tourism strategy evaluation and selection using interval-valued 
      intuitionistic fuzzy additive ratio assessment approach based on similarity 
      measures.
PG  - 7236-7282
LID - 10.1007/s10668-021-01746-w [doi]
AB  - Recently, the assessment and selection of most suitable low-carbon tourism 
      strategy has gained an extensive consideration from sustainable perspectives. 
      Owing to participation of multiple qualitative and quantitative attributes, the 
      low-carbon tourism strategy (LCTS) selection process can be considered as 
      multi-criteria decision-making (MCDM) problem. As uncertainty is usually occurred 
      in LCTSs evaluation, the theory of interval-valued intuitionistic fuzzy sets 
      (IVIFSs) has been established as more flexible and efficient tool to model the 
      uncertain decision-making problems. The idea of the present study is to develop 
      an extended method using additive ratio assessment (ARAS) framework and 
      similarity measures in a way to find an effective solution to the decision-making 
      problems using IVIFSs. The bases of the proposed method are the IVIFSs operators, 
      some modifications in the traditional ARAS framework and a calculation procedure 
      of the weights of the criteria. To calculate criterion weight, new similarity 
      measures for IVIFSs are developed aiming at the achievement of more realistic 
      weights. Also, a comparison is demonstrated to the currently used similarity 
      measures in order to show the efficiency of the developed approach. To confirm 
      that the developed IVIF-ARAS approach can be successfully employed to practical 
      decision-making problems, a case study of LCTS selection problem is considered. 
      The final results from the developed approach and the extant models are compared 
      for the validation of the proposed approach in this study.
CI  - (c) The Author(s), under exclusive licence to Springer Nature B.V. 2021.
FAU - Mishra, Arunodaya Raj
AU  - Mishra AR
AUID- ORCID: 0000-0001-9949-5813
AD  - Department of Mathematics, Government College Jaitwara, Satna, Madhya Pradesh 
      485221 India.
FAU - Chandel, Ayushi
AU  - Chandel A
AD  - Department of Computer Science & Engineering, ITM University, Gwalior, Madhya 
      Pradesh 474001 India. GRID: grid.449310.b. ISNI: 0000 0004 1762 7619
FAU - Saeidi, Parvaneh
AU  - Saeidi P
AD  - Facultad de Ciencias Adminsitrativas y Economicas, Universidad Tecnologica 
      Indoamerica, Quito, Ecuador. GRID: grid.440861.f. ISNI: 0000 0004 1762 5306
LA  - eng
PT  - Journal Article
DEP - 20210903
PL  - Netherlands
TA  - Environ Dev Sustain
JT  - Environment, development and sustainability
JID - 101769312
PMC - PMC8413083
OTO - NOTNLM
OT  - ARAS
OT  - Interval-valued intuitionistic fuzzy sets
OT  - Low-carbon tourism
OT  - MCDM
OT  - Similarity measure
EDAT- 2021/09/09 06:00
MHDA- 2021/09/09 06:01
PMCR- 2021/09/02
CRDT- 2021/09/08 06:51
PHST- 2021/05/11 00:00 [received]
PHST- 2021/08/06 00:00 [accepted]
PHST- 2021/09/09 06:00 [pubmed]
PHST- 2021/09/09 06:01 [medline]
PHST- 2021/09/08 06:51 [entrez]
PHST- 2021/09/02 00:00 [pmc-release]
AID - 1746 [pii]
AID - 10.1007/s10668-021-01746-w [doi]
PST - ppublish
SO  - Environ Dev Sustain. 2022;24(5):7236-7282. doi: 10.1007/s10668-021-01746-w. Epub 
      2021 Sep 3.