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Zeng, W. Y., Cui, H. S., Liu, Y. Q., Yin, Q., Xu, Z. S.. (1401). Novel distance measure between intuitionistic fuzzy sets and its application in pattern recognition. نشریه علمی دانشگاه سیستان و بلوچستان, 19(3), 127-137. doi: 10.22111/ijfs.2022.6947
W. Y. Zeng; H. S. Cui; Y. Q. Liu; Q. Yin; Z. S. Xu. "Novel distance measure between intuitionistic fuzzy sets and its application in pattern recognition". نشریه علمی دانشگاه سیستان و بلوچستان, 19, 3, 1401, 127-137. doi: 10.22111/ijfs.2022.6947
Zeng, W. Y., Cui, H. S., Liu, Y. Q., Yin, Q., Xu, Z. S.. (1401). 'Novel distance measure between intuitionistic fuzzy sets and its application in pattern recognition', نشریه علمی دانشگاه سیستان و بلوچستان, 19(3), pp. 127-137. doi: 10.22111/ijfs.2022.6947
Zeng, W. Y., Cui, H. S., Liu, Y. Q., Yin, Q., Xu, Z. S.. Novel distance measure between intuitionistic fuzzy sets and its application in pattern recognition. نشریه علمی دانشگاه سیستان و بلوچستان, 1401; 19(3): 127-137. doi: 10.22111/ijfs.2022.6947

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
مراجع
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آمار
تعداد مشاهده مقاله: 496
تعداد دریافت فایل اصل مقاله: 548


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