PMID- 36090763
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231103
IS  - 2193-567X (Print)
IS  - 2191-4281 (Electronic)
IS  - 2191-4281 (Linking)
VI  - 48
IP  - 5
DP  - 2023
TI  - A Multi-Criteria Decision-Making Model with Interval-Valued Intuitionistic Fuzzy 
      Sets for Evaluating Digital Technology Strategies in COVID-19 Pandemic Under 
      Uncertainty.
PG  - 7005-7017
LID - 10.1007/s13369-022-07168-8 [doi]
AB  - Coronavirus diseases 2019 (COVID-19) pandemic is an essential challenge to the 
      health and safety of people, medical members, and treatment systems worldwide. 
      Digital technologies (DTs) have been universally introduced to improve the 
      treatment of patients during the pandemic. Nevertheless, only a few governments 
      have been partly successful in executing the DT strategies. In this regard, it is 
      critical to demonstrate a suitable strategy for the governments. This problem is 
      built based on the experts' opinions with some conflicting criteria to evaluate 
      various types of alternatives. Hence, this research presents a new multi-criteria 
      decision-making (MCDM) model under uncertain conditions. For this reason, 
      interval-valued intuitionistic fuzzy sets (IVIFSs) are employed to help 
      decision-makers (DMs) evaluate in a broader area and cope with uncertain 
      information. Moreover, a new extended weighting method based on weighted 
      distance-based approximation (WDBA) and a new combined ranking approach are 
      proposed to determine the DMs' weights and rank the alternatives under IVIF 
      conditions. The developed weighting method is constructed based on computing the 
      DMs' weights with objective criteria weights. Furthermore, a new ranking approach 
      is proposed by obtaining two ranking indexes separately: The first and second 
      ranking indexes are calculated according to the positive and negative ideal 
      solutions distances and the nature of criteria weights, respectively. Afterward, 
      the final values of rankings are computed by considering a new aggregating 
      procedure. The results of the proposed model represent the first alternative as 
      the best strategy. Comparisons between the IVIF-TOPSIS and IVIF-VIKOR methods are 
      also provided to investigate the proposed model to determine the rankings of main 
      alternatives. Sensitivity analyses are conducted to check the reliability and the 
      robustness of the model. For this purpose, criteria weights are analyzed to 
      compute the dependencies' degree of the new extended weighting method. The 
      dependencies of the ranking model are discussed on the criteria weights as well.
CI  - (c) King Fahd University of Petroleum & Minerals 2022, Springer Nature or its 
      licensor 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 - Salimian, Sina
AU  - Salimian S
AD  - Department of Industrial Engineering, Shahed University, Tehran, Iran. GRID: 
      grid.412501.3. ISNI: 0000 0000 8877 1424
FAU - Mousavi, Seyed Meysam
AU  - Mousavi SM
AD  - Department of Industrial Engineering, Shahed University, Tehran, Iran. GRID: 
      grid.412501.3. ISNI: 0000 0000 8877 1424
LA  - eng
PT  - Journal Article
DEP - 20220906
PL  - Germany
TA  - Arab J Sci Eng
JT  - Arabian journal for science and engineering
JID - 101698714
PMC - PMC9446620
OTO - NOTNLM
OT  - Coronavirus disease 2019 (COVID19)
OT  - Digital technology
OT  - Digital technology strategies
OT  - Interval-valued intuitionistic fuzzy sets
OT  - Multi-criteria decision making
OT  - WDBA method
COIS- Conflict of interestThe authors declare that they have no conflict of interest.
EDAT- 2022/09/13 06:00
MHDA- 2022/09/13 06:01
PMCR- 2022/09/06
CRDT- 2022/09/12 03:48
PHST- 2021/10/04 00:00 [received]
PHST- 2022/07/26 00:00 [accepted]
PHST- 2022/09/13 06:01 [medline]
PHST- 2022/09/13 06:00 [pubmed]
PHST- 2022/09/12 03:48 [entrez]
PHST- 2022/09/06 00:00 [pmc-release]
AID - 7168 [pii]
AID - 10.1007/s13369-022-07168-8 [doi]
PST - ppublish
SO  - Arab J Sci Eng. 2023;48(5):7005-7017. doi: 10.1007/s13369-022-07168-8. Epub 2022 
      Sep 6.