PMID- 35739159
OWN - NLM
STAT- MEDLINE
DCOM- 20220627
LR  - 20220829
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 12
IP  - 1
DP  - 2022 Jun 23
TI  - New multi-criteria decision-making technique based on neutrosophic axiomatic 
      design.
PG  - 10657
LID - 10.1038/s41598-022-14557-4 [doi]
LID - 10657
AB  - There are several multicriteria decision-making (MCDM) approaches presented in 
      the literature with their characteristics. Although traditional MCDM approaches 
      are considered a proper implementation to select the best alternative from 
      available types, they failed to consider uncertainty which is quite high and 
      desires to be thoughtfully measured in the selection process. This research 
      focuses on extending MCDM in the neutrosophic environment using axiomatic design 
      (AD) as a novel contribution to selecting appropriate Computed Tomography (CT) 
      devices. We present a new linguistic scale for evaluating criteria and 
      alternatives based on single-valued triangular neutrosophic numbers (SVTrN). The 
      proposed approach is superior to other existing approaches due to its simplicity 
      and ability to simulate natural human thinking via considering truth, 
      indeterminacy, and falsity degrees. Then, applying it will increase the value of 
      imaging for medical decision-making and decrease needless costs. So, this study 
      can be valuable to researchers by helping them consider the appropriate medical 
      imaging system selection problem theoretically under uncertainty, and for 
      governments and organizations to design better satisfying medical imaging 
      evaluation systems.
CI  - (c) 2022. The Author(s).
FAU - Abdel-Basset, Mohamed
AU  - Abdel-Basset M
AD  - Faculty of Computers and Informatics, Zagazig University, Shaibet an Nakareyah, 
      Zagazig, 44519, Ash Sharqia Governorate, Egypt.
FAU - Mohamed, Mai
AU  - Mohamed M
AD  - Faculty of Computers and Informatics, Zagazig University, Shaibet an Nakareyah, 
      Zagazig, 44519, Ash Sharqia Governorate, Egypt.
FAU - Mostafa, Nehal N
AU  - Mostafa NN
AD  - Faculty of Computers and Informatics, Zagazig University, Shaibet an Nakareyah, 
      Zagazig, 44519, Ash Sharqia Governorate, Egypt.
FAU - El-Henawy, Ibrahim M
AU  - El-Henawy IM
AD  - Faculty of Computers and Informatics, Zagazig University, Shaibet an Nakareyah, 
      Zagazig, 44519, Ash Sharqia Governorate, Egypt.
FAU - Abouhawwash, Mohamed
AU  - Abouhawwash M
AD  - Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 
      35516, Egypt. abouhaww@msu.edu.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220623
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - *Clinical Decision-Making
MH  - Humans
MH  - *Linguistics
MH  - Uncertainty
PMC - PMC9226015
COIS- The authors declare no competing interests.
EDAT- 2022/06/24 06:00
MHDA- 2022/06/28 06:00
PMCR- 2022/06/23
CRDT- 2022/06/23 23:19
PHST- 2022/02/07 00:00 [received]
PHST- 2022/06/08 00:00 [accepted]
PHST- 2022/06/23 23:19 [entrez]
PHST- 2022/06/24 06:00 [pubmed]
PHST- 2022/06/28 06:00 [medline]
PHST- 2022/06/23 00:00 [pmc-release]
AID - 10.1038/s41598-022-14557-4 [pii]
AID - 14557 [pii]
AID - 10.1038/s41598-022-14557-4 [doi]
PST - epublish
SO  - Sci Rep. 2022 Jun 23;12(1):10657. doi: 10.1038/s41598-022-14557-4.