Integrated decision-making framework for hospital development: A single-valued neutrosophic probabilistic hesitant fuzzy approach with innovative aggregation operators
This research article proposes an innovative algorithm for analyzing parallelism in the evolution of hospital building features, with the goal of advancing decisionmaking processes in both urban and rural hospitals. As an additional generalization of the concepts of fuzzy sets, intuitionistic fuzzy...
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Published in | Yugoslav Journal of Operations Research p. 34 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
2023
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Online Access | Get full text |
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Summary: | This research article proposes an innovative algorithm for analyzing
parallelism in the evolution of hospital building features, with the goal of
advancing decisionmaking processes in both urban and rural hospitals. As an
additional generalization of the concepts of fuzzy sets, intuitionistic
fuzzy sets, single-valued neutrosophic sets, hesitant fuzzy sets, and
probabilistic fuzzy sets this paper proposes a single-valued neutrosophic
probabilistic hesitant fuzzy set (SV-NPHFS). It is derived from the
combination of single-valued neutrosophic sets, probabilistic fuzzy sets,
and hesitant fuzzy sets. The novel algebraic structure and cosine evaluation
function of SV-NPHFSs are then introduced. In addition, we introduce novel
operators: the single-valued neutrosophic probabilistic hesitant fuzzy
weighted geometric (SV-NPHFWG), the single-valued neutrosophic probabilistic
hesitant fuzzy ordered weighted geometric (SV-NPHFOWG), the single-valued
neutrosophic probabilistic hesitant fuzzy weighted average (SV-NPHFWA), and
the single-valued neutrosophic probabilistic hesitant fuzzy ordered weighted
average (SV-NPHFOWA). More complex links between features and alternatives
can be made with the multi-attribute decision-making procedures outlined in
this work. This characteristic highlights their superior practicality and
accuracy over existing methods, which often fail to capture the intricate
interplay of elements in real-world scenarios. This demonstrates that
applying the decision-making strategies covered in this article can lead to
the discovery of even additional trait correlations. Finally, we evaluate
the performance of our proposed method on a real choice problem and an
experimental comparison. The results demonstrate that the new method will be
more advantageous in a range of applications where decision-making is
uncertain. Figure 1 illustrates all of the manuscript?s results in a
graphical abstract. |
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ISSN: | 0354-0243 1820-743X |
DOI: | 10.2298/YJOR230915034K |