تعداد نشریات | 27 |
تعداد شمارهها | 589 |
تعداد مقالات | 6,036 |
تعداد مشاهده مقاله | 8,855,345 |
تعداد دریافت فایل اصل مقاله | 5,835,612 |
Aggregation of fuzzy metrics and its application in image segmentation | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 3، دوره 19، شماره 3، مرداد و شهریور 2022، صفحه 19-37 اصل مقاله (640.64 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2022.6941 | ||
نویسندگان | ||
N. M. Ralevic؛ M. Delic؛ Lj. Nedovic* | ||
University of Novi Sad, Faculty of Technical Sciences, Department of Fundamentals Sciences, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia | ||
چکیده | ||
This paper proposes a novel method for the construction of a fuzzy metrics and demonstrates application in image segmentation. Some new properties of t-norms, t-conorms, aggregation functions, and fuzzy metrics are proved, which provides the procedures for constructing a new fuzzy metric. We prove that by applying some types of t-norms, t-conorms and aggregation functions on the sequence of fuzzy metrics, a new fuzzy metric could be obtained. The application of the fuzzy metric constructed in this way is illustrated in image segmentation by using the \textsf{FCM} algorithm. For the purpose of constructing a new fuzzy metric, an extended aggregation function called generalized quasi-arithmetic mean is considered. | ||
کلیدواژهها | ||
Aggregation functions؛ distance function؛ fuzzy metric؛ image segmentation؛ triangular conorms؛ triangular norms | ||
آمار تعداد مشاهده مقاله: 396 تعداد دریافت فایل اصل مقاله: 466 |