Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique
ABSTRACT Fuzzy mathematical operations play an important role in the field of decision‐making. Decision‐making tools are being used in every field of life. Fuzzy operators are the building blocks for making a decision in the realm of uncertain information. The information is often in qualitative for...
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Wiley
2025-02-01
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| Series: | Engineering Reports |
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| Online Access: | https://doi.org/10.1002/eng2.70038 |
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| author | M. Ameer Walid Emam Awais Yousaf Muhammad Younis |
| author_facet | M. Ameer Walid Emam Awais Yousaf Muhammad Younis |
| author_sort | M. Ameer |
| collection | DOAJ |
| description | ABSTRACT Fuzzy mathematical operations play an important role in the field of decision‐making. Decision‐making tools are being used in every field of life. Fuzzy operators are the building blocks for making a decision in the realm of uncertain information. The information is often in qualitative form which needs a qualitative approach for decision‐making rather than a quantitative one. The linguistic term sets are the mathematical tools to collect the qualitative data from experts of the fields and the conversion of linguistic data in the form linguistic intuitionistic fuzzy data is the more efficient and reliable for the process of decision making. The fuzzy aggregation operators are the best tools for the aggregation of uncertain and vague data. This work addresses a real‐world decision‐making problem of choosing the best diagnostic approach for the diagnosis of cardiovascular diseases by introducing a novel decision‐making technique with fuzzy aggregation operators in the domain of linguistic intuitionistic fuzzy (LIF) sets. Two new operators are used in this method: the Dynamic Linguistic Intuitionistic Fuzzy Dombi Weighted Averaging (DLIFDWA) operator and the Dynamic Linguistic Intuitionistic Fuzzy Dombi Weighted Geometric (DLIFDWG) operator. This work aims to identify an optimal technique for diagnosing cardiovascular illness using Dombi operations in the Linguistic Intuitionistic Fuzzy environment. The Dombi Operations are highly versatile and successful in addressing vagueness and uncertainty, making them crucial in our methodology. To demonstrate the effectiveness of the offered strategies, we have implemented the recommended operators for the selection of optimized diagnostic approach for cardiovascular diseases. This showcases the significance of these strategies in facilitating decision‐making. Ultimately, we perform a thorough analysis to showcase the reliability and uniformity of the produced procedures, comparing the provided operators with various current counterparts. |
| format | Article |
| id | doaj-art-3d3ea887c2584cafbea17dbe503b5f2a |
| institution | OA Journals |
| issn | 2577-8196 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Engineering Reports |
| spelling | doaj-art-3d3ea887c2584cafbea17dbe503b5f2a2025-08-20T02:15:51ZengWileyEngineering Reports2577-81962025-02-0172n/an/a10.1002/eng2.70038Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making TechniqueM. Ameer0Walid Emam1Awais Yousaf2Muhammad Younis3Department of Mathematics The Islamia University of Bahawalpur Bahawalpur PakistanDepartment of Statistics and Operations Research, Faculty of Science King Saud University Riyadh Saudi ArabiaDepartment of Mathematics The Islamia University of Bahawalpur Bahawalpur PakistanSchool of Mathematical Sciences and Shanghai Key Laboratory of PMMP East China Normal University Shanghai ChinaABSTRACT Fuzzy mathematical operations play an important role in the field of decision‐making. Decision‐making tools are being used in every field of life. Fuzzy operators are the building blocks for making a decision in the realm of uncertain information. The information is often in qualitative form which needs a qualitative approach for decision‐making rather than a quantitative one. The linguistic term sets are the mathematical tools to collect the qualitative data from experts of the fields and the conversion of linguistic data in the form linguistic intuitionistic fuzzy data is the more efficient and reliable for the process of decision making. The fuzzy aggregation operators are the best tools for the aggregation of uncertain and vague data. This work addresses a real‐world decision‐making problem of choosing the best diagnostic approach for the diagnosis of cardiovascular diseases by introducing a novel decision‐making technique with fuzzy aggregation operators in the domain of linguistic intuitionistic fuzzy (LIF) sets. Two new operators are used in this method: the Dynamic Linguistic Intuitionistic Fuzzy Dombi Weighted Averaging (DLIFDWA) operator and the Dynamic Linguistic Intuitionistic Fuzzy Dombi Weighted Geometric (DLIFDWG) operator. This work aims to identify an optimal technique for diagnosing cardiovascular illness using Dombi operations in the Linguistic Intuitionistic Fuzzy environment. The Dombi Operations are highly versatile and successful in addressing vagueness and uncertainty, making them crucial in our methodology. To demonstrate the effectiveness of the offered strategies, we have implemented the recommended operators for the selection of optimized diagnostic approach for cardiovascular diseases. This showcases the significance of these strategies in facilitating decision‐making. Ultimately, we perform a thorough analysis to showcase the reliability and uniformity of the produced procedures, comparing the provided operators with various current counterparts.https://doi.org/10.1002/eng2.70038cardiovascular diseasediagnosis approachesDombi operationsdynamic aggregation operatorsfuzzy systemslinguistic intuitionistic fuzzy system |
| spellingShingle | M. Ameer Walid Emam Awais Yousaf Muhammad Younis Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique Engineering Reports cardiovascular disease diagnosis approaches Dombi operations dynamic aggregation operators fuzzy systems linguistic intuitionistic fuzzy system |
| title | Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique |
| title_full | Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique |
| title_fullStr | Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique |
| title_full_unstemmed | Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique |
| title_short | Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique |
| title_sort | selection of optimized diagnostic approach for cardiovascular diseases leveraging dynamic linguistic intuitionistic fuzzy decision making technique |
| topic | cardiovascular disease diagnosis approaches Dombi operations dynamic aggregation operators fuzzy systems linguistic intuitionistic fuzzy system |
| url | https://doi.org/10.1002/eng2.70038 |
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