PMID- 36059923
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220907
IS  - 2624-909X (Electronic)
IS  - 2624-909X (Linking)
VI  - 5
DP  - 2022
TI  - Past efforts in determining suitable normalization methods for multi-criteria 
      decision-making: A short survey.
PG  - 990699
LID - 10.3389/fdata.2022.990699 [doi]
LID - 990699
AB  - The use of a multi-criteria decision-making (MCDM) technique mostly begins with 
      normalizing the incommensurable data values in the decision matrix. Numerous 
      normalization methods are available in the literature and applying different 
      normalization methods to an MCDM technique is proven to deliver varying results. 
      As such, selecting suitable normalization methods for an MCDM technique has 
      emerged as an intriguing research topic, especially with the advent of big data. 
      Several efforts have been made to compare the suitability of various 
      normalization methods, but regrettably, no paper provides an updated review of 
      these crucial efforts. This study, therefore, aimed to trace articles reporting 
      such efforts and review them based on the following three perspectives: (1) the 
      normalization methods considered, (2) the MCDM methods considered, and (3) the 
      comparison metrics used to determine the suitable normalization methods. The 
      relevant articles were extracted with the aid of Google Scholar using the 
      keywords of "normalization" and "MCDM," and Tableau software was used to analyze 
      further the data gathered through the articles. A total of five limitations were 
      uncovered based on the current state of literature, and potential future works to 
      address those limitations were offered. This paper is the first to compile and 
      review the previous investigations that compared and determined the ideal 
      normalization methods for an MCDM technique.
CI  - Copyright (c) 2022 Krishnan.
FAU - Krishnan, Anath Rau
AU  - Krishnan AR
AD  - Labuan Faculty of International Finance, Universiti Malaysia Sabah, Labuan, 
      Malaysia.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20220818
PL  - Switzerland
TA  - Front Big Data
JT  - Frontiers in big data
JID - 101770603
PMC - PMC9433668
OTO - NOTNLM
OT  - decision criteria
OT  - decision matrix
OT  - incommensurable data
OT  - multi-criteria decision-making
OT  - normalization
COIS- The author declares that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2022/09/06 06:00
MHDA- 2022/09/06 06:01
PMCR- 2022/08/18
CRDT- 2022/09/05 03:45
PHST- 2022/07/10 00:00 [received]
PHST- 2022/08/01 00:00 [accepted]
PHST- 2022/09/05 03:45 [entrez]
PHST- 2022/09/06 06:00 [pubmed]
PHST- 2022/09/06 06:01 [medline]
PHST- 2022/08/18 00:00 [pmc-release]
AID - 10.3389/fdata.2022.990699 [doi]
PST - epublish
SO  - Front Big Data. 2022 Aug 18;5:990699. doi: 10.3389/fdata.2022.990699. eCollection 
      2022.