Expanded Rough Approximation Spaces Using Grill and Maximal Rough Neighborhoods for Medical Applications
Abstract
:1. Introduction
2. Preliminaries
- .
- , leads to .
- if for , then or .
- (Ł1)
- .
- (Ł2)
- .
- (Ł3)
- .
- (Ł4)
- .
- (Ł5)
- whenever .
- (Ł6)
- .
- (Ł7)
- .
- (Ł8)
- .
- (Ł9)
- .
- (U1)
- .
- (U2)
- .
- (U3)
- .
- (U4)
- .
- (U5)
- .
- (U6)
- .
- (U7)
- .
- (U8)
- .
- (U9)
- .
3. First Method for Obtaining Extended Rough Sets Using Grill
- (i)
- If then ,
- (ii)
- If then .
- (i)
- .
- (ii)
- .
- (iii)
- .
- (iv)
- .
- (v)
- .
- (vi)
- .
- (vii)
- If , then .
- (1)
- In general, .
- (2)
- The converse of (ii) in Proposition 2 does not always hold true.
- (1)
- If then —i.e., .
- (2)
- If and , then , . Therefore, , but .
- (3)
- If and , then , and .
- (1)
- If , , then , , and —i.e., .
- (2)
- If , then and .
- (i)
- , and ;
- (ii)
- ;
- (iii)
- .
- (i)
- (ii)
- If ;
- (iii)
- ;
- (iv)
- ;
- (v)
- ;
- (vi)
- ;
- (vii)
- If .
- (1)
- If , then , i.e., .
- (2)
- If and , then , . Therefore, , but .
- (1)
- If , , then , , and —i.e.,
- (2)
- If , then and ; this shows that .
- (i)
- .
- (ii)
- .
4. Second Method for Obtaining Extended Rough Sets Using Grill
- (i)
- .
- (ii)
- .
- (iii)
- If .
- (iv)
- .
- (v)
- .
- (vi)
- .
- (vii)
- .
- (viii)
- .
- (ix)
- .
- (x)
- .
- (xi)
- .
- (xii)
- .
- (xiii)
- .
- (xiv)
- .
- (xv)
- .
- (xvi)
- If then, .
- (1)
- If , , then , , and —i.e., .
- (2)
- , ; then and , and then we have .
5. Third Method for Obtaining Extended Rough Sets Using Grill
- (i)
- , and ;
- (ii)
- ;
- (iii)
- .
- (i)
- .
- (ii)
- .
- (iii)
- .
- (iv)
- .
- (v)
- .
- (vi)
- .
- (vii)
- If , then .
- (i)
- .
- (ii)
- If .
- (iii)
- .
- (iv)
- .
- (v)
- .
- (vi)
- .
- (a)
- , ; then , and . Therefore , but .
- (b)
- , ; then , and . Therefore , but .
- (i)
- .
- (ii)
- .
- (iii)
- .
6. Medical Application
- (i)
- Based on earlier APPs [36], the first (second/third) kind of LOW and UPP APPs, BRs, and accuracy of H are , and 0. This means Patients do not have dengue fever, contradicting the decision system in Table 4. As a result, we are unable to determine if the patient has dengue fever, which creates uncertainty in the process of reaching a medical diagnosis. As a result, the methodologies used by Dai et al. [36] are not appropriate for reaching a precise conclusion.
- (ii)
- In the suggested second type, the LOW and UPP APPs, BRs, and accuracy of are and . According to the current method, this indicates that Patients , and are unquestionably infected with dengue fever, which is in line with Table 4. As a result, the accuracy measure rises and the vagueness of the data decreases.
7. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Aldawood, M.; Azzam, A.A. Expanded Rough Approximation Spaces Using Grill and Maximal Rough Neighborhoods for Medical Applications. Axioms 2025, 14, 482. https://doi.org/10.3390/axioms14070482
Aldawood M, Azzam AA. Expanded Rough Approximation Spaces Using Grill and Maximal Rough Neighborhoods for Medical Applications. Axioms. 2025; 14(7):482. https://doi.org/10.3390/axioms14070482
Chicago/Turabian StyleAldawood, M., and A. A. Azzam. 2025. "Expanded Rough Approximation Spaces Using Grill and Maximal Rough Neighborhoods for Medical Applications" Axioms 14, no. 7: 482. https://doi.org/10.3390/axioms14070482
APA StyleAldawood, M., & Azzam, A. A. (2025). Expanded Rough Approximation Spaces Using Grill and Maximal Rough Neighborhoods for Medical Applications. Axioms, 14(7), 482. https://doi.org/10.3390/axioms14070482