Name
Title | ||
|---|---|---|
A new approach to q-linear Diophantine fuzzy emergency decision support system for COVID19 |
Abstract | ||
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The emergency situation of COVID-19 is a very important problem for emergency decision support systems. Control of the spread of COVID-19 in emergency situations across the world is a challenge and therefore the aim of this study is to propose a q-linear Diophantine fuzzy decision-making model for the control and diagnose COVID19. Basically, the paper includes three main parts for the achievement of appropriate and accurate measures to address the situation of emergency decision-making. First, we propose a novel generalization of Pythagorean fuzzy set, q-rung orthopair fuzzy set and linear Diophantine fuzzy set, called q-linear Diophantine fuzzy set (q-LDFS) and also discussed their important properties. In addition, aggregation operators play an effective role in aggregating uncertainty in decision-making problems. Therefore, algebraic norms based on certain operating laws for q-LDFSs are established. In the second part of the paper, we propose series of averaging and geometric aggregation operators based on defined operating laws under q-LDFS. The final part of the paper consists of two ranking algorithms based on proposed aggregation operators to address the emergency situation of COVID-19 under q-linear Diophantine fuzzy information. In addition, the numerical case study of the novel carnivorous (COVID-19) situation is provided as an application for emergency decision-making based on the proposed algorithms. Results explore the effectiveness of our proposed methodologies and provide accurate emergency measures to address the global uncertainty of COVID-19. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s12652-021-03130-y | Journal of Ambient Intelligence and Humanized Computing |
Keywords | DocType | Volume |
q-Linear Diophantine fuzzy informations, q-Linear Diophantine fuzzy set, Aggregation information, Emergency decision support systems, COVID19 | Journal | 13 |
Issue | ISSN | Citations |
4 | 1868-5137 | 3 |
PageRank | References | Authors |
0.38 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alaa O Almagrabi | 1 | 3 | 0.38 |
| Saleem Abdullah | 2 | 3 | 0.38 |
| Maria Shams | 3 | 3 | 0.38 |
| Yasser D Al-Otaibi | 4 | 3 | 0.38 |
| Shahzaib Ashraf | 5 | 3 | 0.38 |