PMID- 34675251
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20220114
LR  - 20220114
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 11
IP  - 1
DP  - 2021 Oct 21
TI  - Evaluating biometrics by using a hybrid MCDM model.
PG  - 20749
LID - 10.1038/s41598-021-00180-2 [doi]
LID - 20749
AB  - Biometrics has been developing for decades in diverse industries, such as 
      consumer electronics, internet of things, financial industry, etc. The purpose of 
      this research is to build a decision-making model to evaluate and improve the 
      performances of biometrics for administrators to design and make suitable 
      biometric systems. This paper adopts a hybrid multiple criteria decision making 
      (MCDM) model, comprising decision-making trial and evaluation laboratory 
      (DEMATEL), and DEMATEL-based analytic network process (called DANP) to probe into 
      the interrelationship and influential weights among criteria of biometrics. 
      According to DEMATEL technique, the empirical results indicate that criteria of 
      biometrics have self-effect relationships. The dimension of biometrics that 
      administrators of biometrics should enhance first when improving the performances 
      is usability. The criterion of universality with the highest influencing value to 
      systematically affect all other evaluation factors is what administrators of 
      biometrics should comprehensively consider. In the top three criteria for 
      evaluation by DANP, biometric systems with the most influential weight is the 
      criterion that can be improved to have higher recognition rates for increasing 
      the performances of biometrics, followed by biometric conditions and permanence.
CI  - (c) 2021. The Author(s).
FAU - Tsuei, Hung-Jia
AU  - Tsuei HJ
AD  - College of Artificial Intelligence, Yango University, Fuzhou, 350015, Fujian, 
      China.
FAU - Shen, Guiping
AU  - Shen G
AD  - College of Artificial Intelligence, Yango University, Fuzhou, 350015, Fujian, 
      China. dapingping9@163.com.
FAU - Tzeng, Gwo-Hshiung
AU  - Tzeng GH
AD  - Graduate Institute of Urban Planning, National Taipei University, New Taipei 
      City, 23741, Taiwan.
LA  - eng
PT  - Journal Article
DEP - 20211021
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
PMC - PMC8531444
COIS- The authors declare no competing interests.
EDAT- 2021/10/23 06:00
MHDA- 2021/10/23 06:01
PMCR- 2021/10/21
CRDT- 2021/10/22 06:04
PHST- 2021/06/22 00:00 [received]
PHST- 2021/10/01 00:00 [accepted]
PHST- 2021/10/22 06:04 [entrez]
PHST- 2021/10/23 06:00 [pubmed]
PHST- 2021/10/23 06:01 [medline]
PHST- 2021/10/21 00:00 [pmc-release]
AID - 10.1038/s41598-021-00180-2 [pii]
AID - 180 [pii]
AID - 10.1038/s41598-021-00180-2 [doi]
PST - epublish
SO  - Sci Rep. 2021 Oct 21;11(1):20749. doi: 10.1038/s41598-021-00180-2.