مشاهده مشخصات مقاله
Intuitionistic Fuzzy Set Application in Bacteria Recognition
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نویسنده (ها) |
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Vahid Khatibi
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Gholam Ali Montazer
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
One of the toughest challenges in medical diagnosis
is uncertainty handling. The recognition of intestinal
bacteria such as Salmonella and Shigella which cause
typhoid fever and dysentery, respectively, is one such
challenging problem for microbiologists. In this paper,
we take an intelligent approach towards the bacteria
classification problem by using five similarity
measures of fuzzy sets (FSs) and intuitionistic fuzzy
sets (IFSs) to examine their capabilities in
encountering uncertainty in the medical pattern
recognition. Finally, the recognition rates of the
measures are calculated among which IFS Mitchel and
Hausdorf similarity measures score the best results
with 95.27% and 94.48% recognition rates,
respectively. On the other hand, FS Euclidean distance
yieldes only 85% recognition rate. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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