PMID- 35360662
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220402
IS  - 2624-8212 (Electronic)
IS  - 2624-8212 (Linking)
VI  - 5
DP  - 2022
TI  - Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable 
      Artificial Intelligence.
PG  - 827584
LID - 10.3389/frai.2022.827584 [doi]
LID - 827584
AB  - The influence of Artificial Intelligence is growing, as is the need to make it as 
      explainable as possible. Explainability is one of the main obstacles that AI 
      faces today on the way to more practical implementation. In practise, companies 
      need to use models that balance interpretability and accuracy to make more 
      effective decisions, especially in the field of finance. The main advantages of 
      the multi-criteria decision-making principle (MCDM) in financial decision-making 
      are the ability to structure complex evaluation tasks that allow for well-founded 
      financial decisions, the application of quantitative and qualitative criteria in 
      the analysis process, the possibility of transparency of evaluation and the 
      introduction of improved, universal and practical academic methods to the 
      financial decision-making process. This article presents a review and 
      classification of multi-criteria decision-making methods that help to achieve the 
      goal of forthcoming research: to create artificial intelligence-based methods 
      that are explainable, transparent, and interpretable for most investment 
      decision-makers.
CI  - Copyright (c) 2022 Cerneviciene and Kabasinskas.
FAU - Cerneviciene, Jurgita
AU  - Cerneviciene J
AD  - Department of Mathematical Modelling, Faculty of Mathematics and Natural 
      Sciences, Kaunas University of Technology, Kaunas, Lithuania.
FAU - Kabasinskas, Audrius
AU  - Kabasinskas A
AD  - Department of Mathematical Modelling, Faculty of Mathematics and Natural 
      Sciences, Kaunas University of Technology, Kaunas, Lithuania.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20220310
PL  - Switzerland
TA  - Front Artif Intell
JT  - Frontiers in artificial intelligence
JID - 101770551
PMC - PMC8961419
OTO - NOTNLM
OT  - artificial intelligence
OT  - explainable artificial intelligence (XAI)
OT  - financial decision-making
OT  - interpretability
OT  - investment decision-making
OT  - multiple criteria decision aid (MCDA)
COIS- The authors declare 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- 2022/04/02 06:00
MHDA- 2022/04/02 06:01
PMCR- 2022/03/10
CRDT- 2022/04/01 05:25
PHST- 2021/12/02 00:00 [received]
PHST- 2022/02/07 00:00 [accepted]
PHST- 2022/04/01 05:25 [entrez]
PHST- 2022/04/02 06:00 [pubmed]
PHST- 2022/04/02 06:01 [medline]
PHST- 2022/03/10 00:00 [pmc-release]
AID - 10.3389/frai.2022.827584 [doi]
PST - epublish
SO  - Front Artif Intell. 2022 Mar 10;5:827584. doi: 10.3389/frai.2022.827584. 
      eCollection 2022.