التفاصيل البيبلوغرافية
العنوان: |
Ensemble Classifiers for Acute Leukemia Classification Using Microarray Gene Expression Data under uncertainty. |
المؤلفون: |
Gamal, Mona, Zaied, Abdel Nasser H., Rushdy, Ehab |
المصدر: |
Neutrosophic Sets & Systems; 2022, Vol. 49, p164-183, 20p |
مصطلحات موضوعية: |
ACUTE leukemia, GENE expression, TOPSIS method, CANCER patients, CHILDHOOD cancer, JUDGMENT (Psychology), MULTIPLE criteria decision making |
مستخلص: |
One of the most prevalent cancers in children and adults, acute leukemia has the potential to lead to death if left untreated. Within a few weeks after diagnosis, childhood ALL has spread throughout the body, posing a serious health risk to the patient. Evaluation of acute leukemia contains uncertainty and incomplete information. Due to the subjective nature of the expectations, this rating procedure incorporates ambiguity and inaccuracy. To illustrate the ambiguity of our subjective judgments, we can use the triplet T, F, and I, truth, falsity, and indeterminacy (I). Therefore, a Single-Valued Neutrosophic Sets (SVNSs) approach based on AHP, TOPSIS, and VIKOR is designed and implemented in this article. Neutrosophic AHP is used to determine the weighting of criteria in this methodology. A neutrosophic TOPSIS and VIKOR model are used to rank alternatives. There is further validation and verification of the proposed methodology in the application. To demonstrate the adaptability of the offered decisions under various circumstances, sensitivity assessments and comparative analyses were carried out. [ABSTRACT FROM AUTHOR] |
|
Copyright of Neutrosophic Sets & Systems is the property of Multimedia Larga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |