A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measure...
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Language: | English |
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University of Belgrade
2024-01-01
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Series: | Yugoslav Journal of Operations Research |
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Online Access: | https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdf |
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author | Asghar Ali Khan Khuram Ali Rahman Atiqe Ur |
author_facet | Asghar Ali Khan Khuram Ali Rahman Atiqe Ur |
author_sort | Asghar Ali |
collection | DOAJ |
description | In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measures to manage intricacy, imperfection, and uncertainty across a range of domains is what makes them significant. This article proposes a distance formula based on complex picture fuzzy soft sets (CPiFSs) along with related results in its first phase. Following that, the second phase presents the η-equalities for the proposed distances of CPiFSs. Establishing a hospital is complicated, especially when it comes to choosing the ideal site because it affects mobility and the efficacy of community service. Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. To overcome these challenges, an algorithm based on CPiFS distance measures is presented in the third phase for the evaluation of hospital sites. Finally, the paper concludes by emphasizing the significance of this research and its potential applications in various contexts. |
format | Article |
id | doaj-art-29cd03e85a1d43c9a8399215e57efafe |
institution | Kabale University |
issn | 0354-0243 1820-743X |
language | English |
publishDate | 2024-01-01 |
publisher | University of Belgrade |
record_format | Article |
series | Yugoslav Journal of Operations Research |
spelling | doaj-art-29cd03e85a1d43c9a8399215e57efafe2025-01-30T06:47:14ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2024-01-0134479581210.2298/YJOR240218030A0354-02432400030AA multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environmentAsghar Ali0https://orcid.org/0009-0006-8504-0512Khan Khuram Ali1https://orcid.org/0000-0002-3468-2295Rahman Atiqe Ur2https://orcid.org/0000-0001-6320-9221Department of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, University of Management and Technology, Lahore, PakistanIn scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measures to manage intricacy, imperfection, and uncertainty across a range of domains is what makes them significant. This article proposes a distance formula based on complex picture fuzzy soft sets (CPiFSs) along with related results in its first phase. Following that, the second phase presents the η-equalities for the proposed distances of CPiFSs. Establishing a hospital is complicated, especially when it comes to choosing the ideal site because it affects mobility and the efficacy of community service. Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. To overcome these challenges, an algorithm based on CPiFS distance measures is presented in the third phase for the evaluation of hospital sites. Finally, the paper concludes by emphasizing the significance of this research and its potential applications in various contexts.https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdfdecision-makingoptimizationfuzzy soft setcomplex fuzzy soft setpicture fuzzy soft setcomplex picture fuzzy soft set |
spellingShingle | Asghar Ali Khan Khuram Ali Rahman Atiqe Ur A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment Yugoslav Journal of Operations Research decision-making optimization fuzzy soft set complex fuzzy soft set picture fuzzy soft set complex picture fuzzy soft set |
title | A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
title_full | A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
title_fullStr | A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
title_full_unstemmed | A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
title_short | A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
title_sort | multi attribute decision making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment |
topic | decision-making optimization fuzzy soft set complex fuzzy soft set picture fuzzy soft set complex picture fuzzy soft set |
url | https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdf |
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