PMID- 35873110
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221221
IS  - 0957-4174 (Print)
IS  - 0957-4174 (Electronic)
IS  - 0957-4174 (Linking)
VI  - 208
DP  - 2022 Dec 1
TI  - Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking 
      interpreter technique under single valued bipolar neutrosophic environment.
PG  - 118160
LID - 10.1016/j.eswa.2022.118160 [doi]
AB  - COVID-19 is a respiratory infection caused by a coronavirus that spreads from 
      person to person. In the present situation, the COVID-19 pandemic is a swiftly 
      rising phase. Now the time is the second wave ending phase of coronavirus and the 
      third wave coming phase of coronavirus in India. The pandemic situation is moving 
      forward all over India. Nowadays, the worldwide COVID-19 pandemic structure is a 
      very hazardous situation. The COVID-19 vaccine can suppress this situation and 
      gain preventive measures against coronavirus. In producing the COVID-19 vaccine, 
      the Indian medical board plays a significant role. The COVID-19 vaccines have 
      exhibited 90%-95% efficacy in preventing symptomatic COVID-19 infections. Against 
      COVID-19, for emergency purposes, the Indian medical board has approved three 
      vaccines: Covishield, Covaxin, and Sputnik V. Generally, the Indian people are 
      embarrassed about the vaccination of COVID-19. All people are thinking about 
      which vaccine is best for them. This labyrinth can be evaluated effectively using 
      the multi-criteria decision-making (MCDM) technique. Therefore, we have proposed 
      a novel MCDM technique for selecting COVID-19 vaccines. The main aim of this 
      paper is to develop an MCDM technique based on a lambda -weighted ranking interpreter 
      ( Rlambda+, Rlambda- ). The first time, we have defined positive and negative lambda -weighted 
      rank interpreter for the ranking of single-valued bipolar neutrosophic (SVbN) 
      number. Additionally, positive and negative lambda -weighted values and positive and 
      negative lambda -weighted ambiguity of an SVbN-number are formulated here. Some 
      important, valuable theorems and corollary of SVbN-number are formulated. To show 
      the applicability of the proposed MCDM technique, we have considered a real 
      decision-making problem where ratings of the alternatives are with SVbN-numbers.
CI  - (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Garai, Totan
AU  - Garai T
AD  - Department of Mathematics, Syamsundar College, Syamsundar, Purba Bardhaman 
      713424, West Bengal, India.
FAU - Garg, Harish
AU  - Garg H
AD  - School of Mathematics, Thapar Institute of Engineering and Technology, Deemed 
      University, Patiala 147004, Punjab, India.
LA  - eng
PT  - Journal Article
DEP - 20220718
PL  - United States
TA  - Expert Syst Appl
JT  - Expert systems with applications
JID - 9884333
PMC - PMC9288936
OTO - NOTNLM
OT  - Bipolar neutrosophic environment
OT  - COVID-19 vaccines
OT  - Multi-criteria decision making
OT  - Ranking interpreter
COIS- 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- 2022/07/26 06:00
MHDA- 2022/07/26 06:01
PMCR- 2022/07/18
CRDT- 2022/07/25 03:30
PHST- 2021/11/19 00:00 [received]
PHST- 2022/05/31 00:00 [revised]
PHST- 2022/07/08 00:00 [accepted]
PHST- 2022/07/26 06:00 [pubmed]
PHST- 2022/07/26 06:01 [medline]
PHST- 2022/07/25 03:30 [entrez]
PHST- 2022/07/18 00:00 [pmc-release]
AID - S0957-4174(22)01313-6 [pii]
AID - 118160 [pii]
AID - 10.1016/j.eswa.2022.118160 [doi]
PST - ppublish
SO  - Expert Syst Appl. 2022 Dec 1;208:118160. doi: 10.1016/j.eswa.2022.118160. Epub 
      2022 Jul 18.