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Novel distance measure between intuitionistic fuzzy sets and its application in pattern recognition | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 9، دوره 19، شماره 3، مرداد و شهریور 2022، صفحه 127-137 اصل مقاله (180.23 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2022.6947 | ||
| نویسندگان | ||
| W. Y. Zeng1؛ H. S. Cui1؛ Y. Q. Liu1؛ Q. Yin* 1؛ Z. S. Xu2 | ||
| 1School of Artificial Intelligence, Beijing Normal University, Beijing 100875, PR China | ||
| 2Business School, Sichuan University, Chengdu 610064, PR China | ||
| چکیده | ||
| In this article, we propose a new distance measure between intuitionistic fuzzy sets(IFSs), which takes into account the membership degree, non-membership degree, and their difference between membership and non-membership degree of intuitionistic fuzzy sets, as well as the exponential distance measure to avoid information loss. Meanwhile we prove that it satisfies the axiomatic definition of distance measure, and do comparison analysis with some widely used distance measures. Finally, we apply our distance measure in pattern recognition, these results show that our distance measure can significantly overcome the drawback of information loss and have more widely application scope. | ||
| کلیدواژه‌ها | ||
| Intuitionistic fuzzy set؛ distance measure؛ exponential distance measure؛ pattern recognition؛ decision making | ||
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آمار تعداد مشاهده مقاله: 313 تعداد دریافت فایل اصل مقاله: 376 |
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