Algorithms for Covid-19 outbreak using soft set theory: estimation and application

Orhan Dalkılıç, Naime Demirtaş

Open source

DOI
10.1007/s00500-022-07519-5
Published
2022-10-14
Container
Soft Computing
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s00500-022-07519-5,
  title = {Algorithms for Covid-19 outbreak using soft set theory: estimation and application},
  author = {Orhan Dalkılıç and Naime Demirtaş},
  year = {2022},
  journal = {Soft Computing},
  doi = {10.1007/s00500-022-07519-5},
  url = {https://doi.org/10.1007/s00500-022-07519-5}
}

RIS

TY  - JOUR
TI  - Algorithms for Covid-19 outbreak using soft set theory: estimation and application
AU  - Orhan Dalkılıç
AU  - Naime Demirtaş
PY  - 2022
JO  - Soft Computing
DO  - 10.1007/s00500-022-07519-5
UR  - https://doi.org/10.1007/s00500-022-07519-5
ER  - 

APA

Dalkılıç, O., & Demirtaş, N. (2022). Algorithms for Covid-19 outbreak using soft set theory: estimation and application. Soft Computing. https://doi.org/10.1007/s00500-022-07519-5

Source records