تعداد نشریات | 418 |
تعداد شمارهها | 10,004 |
تعداد مقالات | 83,629 |
تعداد مشاهده مقاله | 78,549,774 |
تعداد دریافت فایل اصل مقاله | 55,669,491 |
Fermatean Fuzzy Type Statistical Concepts with Medical Decision-Making Application | ||
Fuzzy Optimization and Modeling Journal | ||
مقاله 1، دوره 4، شماره 1، تیر 2023، صفحه 1-14 اصل مقاله (714.5 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.30495/fomj.2023.1982256.1082 | ||
نویسنده | ||
Murat Kirisci* | ||
Department of Bİostatistics and Medical Informatics, Cerrahapasa Medicine Faculty, Istanbul University-Cerrahpasa | ||
چکیده | ||
When a correlation between datasets is presented, it is clear from this statement that it quantifies how strongly these datasets are connected. Meanwhile, this coefficient is a well-known metric for assessing the link between two sets. The Fermatean fuzzy set is a significant extension of the extant intuitionistic and Pythagorean fuzzy sets, with the benefit of more comprehensively characterizing ambiguous data. In other words, Fermatean fuzzy sets are powerful and useful tools for representing imprecise information. The purpose of this work is to generate novel correlation coefficients using Fermatean fuzzy sets. These coefficients specify the degree and kind of correlation (positive or negative) between two Fermatean fuzzy sets. The new coefficient values will similarly be in the [-1,1] range. During formulation, pairs of membership and non-membership degrees were viewed as a vector representation containing the two elements. Furthermore, the novel approach was compared to existing methods. A medical diagnosis application and pattern recognition as a data mining application were used to exemplify the effectiveness of the proposed method. | ||
کلیدواژهها | ||
Variance؛ Covariance؛ Correlation Coefficient؛ Pearson Correlation Coefficient؛ Fermatean Fuzzy Set | ||
آمار تعداد مشاهده مقاله: 65 تعداد دریافت فایل اصل مقاله: 119 |