Academic Journal
Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness
| العنوان: | Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness |
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| المؤلفون: | B. Baranidharan, Jie Liu, G. S. Mahapatra, B. S. Mahapatra, R. Srilalithambigai |
| المصدر: | Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4373-4395 (2024) |
| بيانات النشر: | Springer, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Electronic computers. Computer science LCC:Information technology |
| مصطلحات موضوعية: | Distance measure, Pythagorean fuzzy set, Disease analysis, Standardization of fuzzy sets, Group decision making, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64 |
| الوصف: | Abstract Despite the fact that several technologies have been developed to assist healthcare workers in reducing errors and improving accuracy in illness diagnosis, there is still substantial ambiguity regarding the accurate disease diagnosis based on symptoms. The goal of this work is to establish a group decision-making problem in an uncertain situation to assist medical practitioners in generating accurate illness predictions based on symptoms. This study proposes a novel distance measure for Pythagorean fuzzy sets that incorporates the inherent uncertainty of complex, uncertain data by incorporating indeterminacy in the computation. First, we establish the proposed Mabala distance measure by describing it’s properties. Then, the suggested distance measure is applied to solve group decision-making problems in uncertain situations. A case study of disease analysis based on symptoms is presented to illustrate the decision-making procedure involving four medical professionals, five symptoms, and five probable diseases. Furthermore, We have presented two cases of disease analysis using non-standard and standard Pythagorean fuzzy soft matrices. The results suggest that the proposed Mabala’s distance measure has great potential for improving disease analysis. The proposed Mabala distance measure is compared to five existing distance measures using an identical data set of prospective disease symptoms. The comparative analysis indicates that the suggested Mabala distance measure’s result almost coincides with the results of the other distance measurements. A set of sensitivity analysis is provided to analyze the durability and consistency of the proposed distance measurements across different input scenarios. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2199-4536 2198-6053 |
| Relation: | https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053 |
| DOI: | 10.1007/s40747-024-01376-5 |
| URL الوصول: | https://doaj.org/article/b8e4e897383c4ff6b715e2cb35b85ab0 |
| رقم الانضمام: | edsdoj.b8e4e897383c4ff6b715e2cb35b85ab0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21994536 21986053 |
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| DOI: | 10.1007/s40747-024-01376-5 |