Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information
Апстракт
Brain carcinoma is one of the massive dangerous diseases in the human body, and certain intellectuals have been affected by them. Additionally, by using the complex q-rung orthopair fuzzy set, which is the massive important, and dominant technique to manage indeterminate and ambiguous information in genuine life troubles. This study aims to employ the principle of variation coefficient similarity measures and generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy sets and illustrated their properties. Certain special cases of the elaborated measures are investigated to expand the superiority of the investigated works. Moreover, by using the presented generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy information, a medical diagnosis is illustrated to determine the most dangerous sorts of brain carcinoma in the human body to determine the supremacy and dominance of the elaborated measures. Lastly, certai...n examples are illustrated based on proposed measures under a complex q-rung orthopair fuzzy set to find the advantages and sensitive analysis of the initiated measures to illustrate the rationality and dominance of the developed measures.
Кључне речи:
Variation coefficient similarity measures / Generalized variation coefficient similarity measures / Decision-making strategy / Complex q-rung orthopair fuzzy sets / Brain cancerИзвор:
Soft Computing, 2023Издавач:
- Springer Science and Business Media Deutschland GmbH
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Ali, Zeeshan AU - Mahmood, T. AU - Karamti, H. AU - Ullah, Kifayat AU - Zedam, L. AU - Pamučar, Dragan AU - Ahmadi, M. PY - 2023 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2515 AB - Brain carcinoma is one of the massive dangerous diseases in the human body, and certain intellectuals have been affected by them. Additionally, by using the complex q-rung orthopair fuzzy set, which is the massive important, and dominant technique to manage indeterminate and ambiguous information in genuine life troubles. This study aims to employ the principle of variation coefficient similarity measures and generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy sets and illustrated their properties. Certain special cases of the elaborated measures are investigated to expand the superiority of the investigated works. Moreover, by using the presented generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy information, a medical diagnosis is illustrated to determine the most dangerous sorts of brain carcinoma in the human body to determine the supremacy and dominance of the elaborated measures. Lastly, certain examples are illustrated based on proposed measures under a complex q-rung orthopair fuzzy set to find the advantages and sensitive analysis of the initiated measures to illustrate the rationality and dominance of the developed measures. PB - Springer Science and Business Media Deutschland GmbH T2 - Soft Computing T1 - Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information DO - 10.1007/s00500-023-08014-1 UR - conv_3801 ER -
@article{ author = "Ali, Zeeshan and Mahmood, T. and Karamti, H. and Ullah, Kifayat and Zedam, L. and Pamučar, Dragan and Ahmadi, M.", year = "2023", abstract = "Brain carcinoma is one of the massive dangerous diseases in the human body, and certain intellectuals have been affected by them. Additionally, by using the complex q-rung orthopair fuzzy set, which is the massive important, and dominant technique to manage indeterminate and ambiguous information in genuine life troubles. This study aims to employ the principle of variation coefficient similarity measures and generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy sets and illustrated their properties. Certain special cases of the elaborated measures are investigated to expand the superiority of the investigated works. Moreover, by using the presented generalized variation coefficient similarity measures under the complex q-rung orthopair fuzzy information, a medical diagnosis is illustrated to determine the most dangerous sorts of brain carcinoma in the human body to determine the supremacy and dominance of the elaborated measures. Lastly, certain examples are illustrated based on proposed measures under a complex q-rung orthopair fuzzy set to find the advantages and sensitive analysis of the initiated measures to illustrate the rationality and dominance of the developed measures.", publisher = "Springer Science and Business Media Deutschland GmbH", journal = "Soft Computing", title = "Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information", doi = "10.1007/s00500-023-08014-1", url = "conv_3801" }
Ali, Z., Mahmood, T., Karamti, H., Ullah, K., Zedam, L., Pamučar, D.,& Ahmadi, M.. (2023). Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information. in Soft Computing Springer Science and Business Media Deutschland GmbH.. https://doi.org/10.1007/s00500-023-08014-1 conv_3801
Ali Z, Mahmood T, Karamti H, Ullah K, Zedam L, Pamučar D, Ahmadi M. Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information. in Soft Computing. 2023;. doi:10.1007/s00500-023-08014-1 conv_3801 .
Ali, Zeeshan, Mahmood, T., Karamti, H., Ullah, Kifayat, Zedam, L., Pamučar, Dragan, Ahmadi, M., "Investigation of the brain carcinoma based on generalized variation coefficient similarity measures using complex q-rung orthopair fuzzy information" in Soft Computing (2023), https://doi.org/10.1007/s00500-023-08014-1 ., conv_3801 .