PMID- 35345528
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 1568-4946 (Print)
IS  - 1872-9681 (Electronic)
IS  - 1568-4946 (Linking)
VI  - 121
DP  - 2022 May
TI  - An FGM decomposition-based fuzzy MCDM method for selecting smart technology 
      applications to support mobile health care during and after the COVID-19 
      pandemic.
PG  - 108758
LID - 10.1016/j.asoc.2022.108758 [doi]
AB  - In a fuzzy multicriteria decision-making (MCDM) problem, a decision maker may 
      have differing viewpoints on the relative priorities of criteria. However, 
      traditional methods merge these viewpoints into a single one, which leads to an 
      unrepresentative decision-making result. Several recent methods identify the 
      multiple viewpoints of a decision maker by decomposing the decision maker's fuzzy 
      judgment matrix into several symmetric fuzzy subjudgment matrices, which is an 
      inflexible strategy. To enhance flexibility, this study proposed a fuzzy 
      geometric mean (FGM) decomposition-based fuzzy MCDM method in which FGM is 
      applied to decompose a fuzzy judgment matrix into several fuzzy subjudgment 
      matrices that can be asymmetric. These fuzzy subjudgment matrices are diverse and 
      more consistent than the original fuzzy judgment matrix. The proposed methodology 
      was applied to select the best choice from a group of smart technology 
      applications for supporting mobile health care during and after the COVID-19 
      pandemic. According to the experimental results, the proposed methodology 
      provided a novel approach to decomposing fuzzy judgment matrices and produced 
      more diverse fuzzy subjudgment matrices.
CI  - (c) 2022 Elsevier B.V. All rights reserved.
FAU - Chen, Tin-Chih Toly
AU  - Chen TT
AD  - Department of Industrial Engineering and Management, National Yang Ming Chiao 
      Tung University, Hsinchu City, Taiwan.
FAU - Lin, Chi-Wei
AU  - Lin CW
AD  - Department of Industrial Engineering and Systems Management, Feng Chia 
      University, Taichung City, Taiwan.
LA  - eng
PT  - Journal Article
DEP - 20220323
PL  - United States
TA  - Appl Soft Comput
JT  - Applied soft computing
JID - 101536968
PMC - PMC8941947
OTO - NOTNLM
OT  - COVID-19 pandemic
OT  - Fuzzy multicriteria decision-making
OT  - Judgment decomposition
OT  - Mobile health care
OT  - Smart technology
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- 2022/03/30 06:00
MHDA- 2022/03/30 06:01
PMCR- 2022/03/23
CRDT- 2022/03/29 05:08
PHST- 2021/07/28 00:00 [received]
PHST- 2022/03/04 00:00 [revised]
PHST- 2022/03/15 00:00 [accepted]
PHST- 2022/03/30 06:00 [pubmed]
PHST- 2022/03/30 06:01 [medline]
PHST- 2022/03/29 05:08 [entrez]
PHST- 2022/03/23 00:00 [pmc-release]
AID - S1568-4946(22)00193-4 [pii]
AID - 108758 [pii]
AID - 10.1016/j.asoc.2022.108758 [doi]
PST - ppublish
SO  - Appl Soft Comput. 2022 May;121:108758. doi: 10.1016/j.asoc.2022.108758. Epub 2022 
      Mar 23.