PMID- 35162153
OWN - NLM
STAT- MEDLINE
DCOM- 20220302
LR  - 20220302
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 19
IP  - 3
DP  - 2022 Jan 20
TI  - A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem 
      in Assistive Technology Adoption for People with Dementia.
LID - 10.3390/ijerph19031133 [doi]
LID - 1133
AB  - The classifier selection problem in Assistive Technology Adoption refers to 
      selecting the classification algorithms that have the best performance in 
      predicting the adoption of technology, and is often addressed through measuring 
      different single performance indicators. Satisfactory classifier selection can 
      help in reducing time and costs involved in the technology adoption process. As 
      there are multiple criteria from different domains and several candidate 
      classification algorithms, the classifier selection process is now a problem that 
      can be addressed using Multiple-Criteria Decision-Making (MCDM) methods. This 
      paper proposes a novel approach to address the classifier selection problem by 
      integrating Intuitionistic Fuzzy Sets (IFS), Decision Making Trial and Evaluation 
      Laboratory (DEMATEL), and the Technique for Order of Preference by Similarity to 
      Ideal Solution (TOPSIS). The step-by-step procedure behind this application is as 
      follows. First, IF-DEMATEL was used for estimating the criteria and sub-criteria 
      weights considering uncertainty. This method was also employed to evaluate the 
      interrelations among classifier selection criteria. Finally, a modified TOPSIS 
      was applied to generate an overall suitability index per classifier so that the 
      most effective ones can be selected. The proposed approach was validated using a 
      real-world case study concerning the adoption of a mobile-based reminding 
      solution by People with Dementia (PwD). The outputs allow public health managers 
      to accurately identify whether PwD can adopt an assistive technology which 
      results in (i) reduced cost overruns due to wrong classification, (ii) improved 
      quality of life of adopters, and (iii) rapid deployment of intervention 
      alternatives for non-adopters.
FAU - Ortiz-Barrios, Miguel Angel
AU  - Ortiz-Barrios MA
AUID- ORCID: 0000-0001-6890-7547
AD  - Department of Productivity and Innovation, Universidad de la Costa CUC, 
      Barranquilla 081001, Colombia.
FAU - Garcia-Constantino, Matias
AU  - Garcia-Constantino M
AUID- ORCID: 0000-0002-3420-0532
AD  - School of Computing and Mathematics, Ulster University, Jordanstown BT37 0QB, UK.
FAU - Nugent, Chris
AU  - Nugent C
AUID- ORCID: 0000-0003-0882-7902
AD  - School of Computing and Mathematics, Ulster University, Jordanstown BT37 0QB, UK.
FAU - Alfaro-Sarmiento, Isaac
AU  - Alfaro-Sarmiento I
AD  - Department of Productivity and Innovation, Universidad de la Costa CUC, 
      Barranquilla 081001, Colombia.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220120
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Decision Making
MH  - *Dementia
MH  - Humans
MH  - Quality of Life
MH  - *Self-Help Devices
MH  - Uncertainty
PMC - PMC8834594
OTO - NOTNLM
OT  - Decision Making Trial and Evaluation Laboratory (DEMATEL)
OT  - Intuitionistic Fuzzy Sets (IFS)
OT  - People with Dementia (PwD)
OT  - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
OT  - classifier
OT  - multi-criteria decision making (MCDM)
OT  - public health
OT  - technology adoption
COIS- The authors declare no conflict of interest.
EDAT- 2022/02/16 06:00
MHDA- 2022/03/03 06:00
PMCR- 2022/01/20
CRDT- 2022/02/15 01:13
PHST- 2021/11/23 00:00 [received]
PHST- 2022/01/12 00:00 [revised]
PHST- 2022/01/17 00:00 [accepted]
PHST- 2022/02/15 01:13 [entrez]
PHST- 2022/02/16 06:00 [pubmed]
PHST- 2022/03/03 06:00 [medline]
PHST- 2022/01/20 00:00 [pmc-release]
AID - ijerph19031133 [pii]
AID - ijerph-19-01133 [pii]
AID - 10.3390/ijerph19031133 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2022 Jan 20;19(3):1133. doi: 
      10.3390/ijerph19031133.