PMID- 35222734
OWN - NLM
STAT- Publisher
LR  - 20240220
IS  - 1868-5137 (Print)
IS  - 1868-5145 (Electronic)
DP  - 2022 Feb 22
TI  - Fermatean fuzzy soft aggregation operators and their application in symptomatic 
      treatment of COVID-19 (case study of patients identification).
PG  - 1-18
LID - 10.1007/s12652-022-03725-z [doi]
AB  - ABSTRACT: The main focus of this paper is the application of aggregation 
      operators (AOs) in the environment of Fermatean fuzzy soft sets (FFSS). The 
      unique feature of the work is its application in the symptomatic treatment of the 
      COVID-19 disease. For this purpose, the idea of FFSS is introduced which is based 
      on the Senapati and Yagar's Fermatean fuzzy set. Next we have defined Fermatean 
      fuzzy soft aggregation operators (FFSAOs) like, Fermatean fuzzy soft weighted 
      averaging (FFSWA) operator, Fermatean fuzzy soft ordered weighted averaging 
      (FFSOWA) operator, Fermatean fuzzy soft weighted geometric (FFSWG) operator and 
      Fermatean fuzzy soft ordered weighted geometric (FFSOWG). The prominent 
      properties of these operators are given in details. We have also developed some 
      approaches to solve multi-criteria decision making (MCDM) problems in Fermatean 
      fuzzy soft (FFS) information. An introduction to the novel pandemic, safety 
      measures, and then its possible symptomatic treatment is also provided. The 
      developed operators are utilized in the symptomatic treatment of COVID-19 disease 
      in order to show the practical applications and importance of these AOs as well 
      as Fermatean fuzzy soft information. The stability of the proposed work is also 
      proved by the comparative analysis.
CI  - (c) The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of 
      Springer Nature 2022.
FAU - Zeb, Aurang
AU  - Zeb A
AUID- ORCID: 0000-0002-1441-5536
AD  - School of Mathematics and Statistics, Central South University, Changsha, 410083 
      Hunan China. GRID: grid.216417.7. ISNI: 0000 0001 0379 7164
AD  - Department of Mathematics, Abdul Wali Khan University, Mardan, KP 23200 Pakistan. 
      GRID: grid.440522.5. ISNI: 0000 0004 0478 6450
FAU - Khan, Asghar
AU  - Khan A
AD  - Department of Mathematics, Abdul Wali Khan University, Mardan, KP 23200 Pakistan. 
      GRID: grid.440522.5. ISNI: 0000 0004 0478 6450
FAU - Juniad, Muhammad
AU  - Juniad M
AD  - Department of Mathematics, Abdul Wali Khan University, Mardan, KP 23200 Pakistan. 
      GRID: grid.440522.5. ISNI: 0000 0004 0478 6450
FAU - Izhar, Muhammad
AU  - Izhar M
AD  - Department of Mathematics, Govt. Degree College Garhi Kapura, Mardan, KP 23200 
      Pakistan.
LA  - eng
PT  - Journal Article
DEP - 20220222
PL  - Germany
TA  - J Ambient Intell Humaniz Comput
JT  - Journal of ambient intelligence and humanized computing
JID - 101538212
PMC - PMC8860733
OTO - NOTNLM
OT  - COVID-19
OT  - Fermatean fuzzy soft aggregation operators
OT  - Fermatean fuzzy soft set
OT  - Multiple attribute decision making problems
OT  - Operational laws
COIS- Conflict of interestThe authors declare that they have no conflict of interest.
EDAT- 2022/03/01 06:00
MHDA- 2022/03/01 06:00
PMCR- 2022/02/22
CRDT- 2022/02/28 05:35
PHST- 2021/04/19 00:00 [received]
PHST- 2022/01/19 00:00 [accepted]
PHST- 2022/02/28 05:35 [entrez]
PHST- 2022/03/01 06:00 [pubmed]
PHST- 2022/03/01 06:00 [medline]
PHST- 2022/02/22 00:00 [pmc-release]
AID - 3725 [pii]
AID - 10.1007/s12652-022-03725-z [doi]
PST - aheadofprint
SO  - J Ambient Intell Humaniz Comput. 2022 Feb 22:1-18. doi: 
      10.1007/s12652-022-03725-z.