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Iranian Journal of Fuzzy Systems، جلد ۱۹، شماره ۳، صفحات ۱۹-۳۷
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Aggregation of fuzzy metrics and its application in image segmentation |
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| چکیده انگلیسی مقاله |
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. |
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| کلیدواژه‌های انگلیسی مقاله |
aggregation functions, distance function, Fuzzy metric, image segmentation, triangular conorms, triangular norms |
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| نویسندگان مقاله |
N. M. Ralevic |
University of Novi Sad, Faculty of Technical Sciences, Department of Fundamentals Sciences, Trg Dositeja Obradovica 6,
21000 Novi Sad, Serbia
M. Delic |
University of Novi Sad, Faculty of Technical Sciences, Department of Fundamentals Sciences, Trg Dositeja Obradovica 6,
21000 Novi Sad, Serbia
Lj. Nedovic |
University of Novi Sad, Faculty of Technical Sciences, Department of Fundamentals Sciences, Trg Dositeja Obradovica 6,
21000 Novi Sad, Serbia
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| نشانی اینترنتی |
https://ijfs.usb.ac.ir/article_6941_deb68db580d4538906fd129a2824c7bd.pdf |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
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