2023
DOI: 10.1016/j.bspc.2022.104267
|View full text |Cite
|
Sign up to set email alerts
|

An algebraic modeling for tuberculosis disease prognosis and proposed potential treatment methods using fuzzy hypersoft mappings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 9 publications
(5 citation statements)
references
References 25 publications
0
5
0
Order By: Relevance
“…Humans are encountered with decision making problems on multiple occasions on a daily basis. In order for optimal processing of the available information, numerous decision making studies are reported in literature that incorporate fuzzy hybrid structures for diverse decision-making applications like disease diagnosis [37], [38], supply chain management [39], environmental and policy design problems [36]. The proposed structure has significant applications in addressing multi-criteria decision making problems.…”
Section: C L Df S S -Decision Making Techniquementioning
confidence: 99%
“…Humans are encountered with decision making problems on multiple occasions on a daily basis. In order for optimal processing of the available information, numerous decision making studies are reported in literature that incorporate fuzzy hybrid structures for diverse decision-making applications like disease diagnosis [37], [38], supply chain management [39], environmental and policy design problems [36]. The proposed structure has significant applications in addressing multi-criteria decision making problems.…”
Section: C L Df S S -Decision Making Techniquementioning
confidence: 99%
“…Several multicriteria decision-making (MCDM) techniques are available, including the analytical hierarchical process (AHP) and the analytical network process (ANP) [5], data envelopment analysis (DEA), the technique for order of preference by similarity to ideal solutions (TOPSIS) [6], fuzzy decision making [7], and intuitionistic fuzzy sets (IFSs) [8]. Saeed et al [9][10][11] worked on solid waste management strategies, the evaluation of strategic procurement techniques for fuel cell and hydrogen components, tuberculosis disease prognosis, and proposed potential treatment methods.…”
Section: Introductionmentioning
confidence: 99%
“…Its hybridised models have been applied in many multidisciplinary areas while dealing with MADM problems. Saeed et al [23][24][25][26] studied the diagnoses of diseases such as COVID-19, tuberculosis, allergy-based diseases, and hepatitis, respectively, by using the hybrids of HSS. Similarly, Rahman et al [27,28] studied the diagnosis of heart disease by proposing robust algorithmic MADM techniques based on hybrids of HSS.…”
Section: Introductionmentioning
confidence: 99%