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《Mathematics in Practice and Theory》 2013-16
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Cancer Cell Recognition Based on Intuitionistic Fuzzy Sets

LIU Jun;XU Tian-hua;SUN Shu-qin;Department of Mathematics,Sichuan University for Nationalities;  
In order to improve the diagnostic accuracy of cancer cells and to make up for the defects of the judgment by the strict numerical value limits,a new cancer cells recognition method was put forward base on intuitionistic fuzzy sets and doctors' prior knowledge.The intuitionistic fuzzy relations were established from a cell sample set to a set of symptoms and from a symptoms set to a classification set of cells diagnosis.The evaluation intuitionistic fuzzy sets on the cell sample was obtained with the composition operation of the intuitionistic fuzzy relations.Finally,an example-based learning approach was presented.The study result indicates that the new method can correct to classify and identify cells,which is reasonable and effective.In addition,this recognition method can continuously renovate and perfect by doctors' new practical experience in the application to advance precision.
【Fund】: 四川省教育厅基金(11ZB153 10ZC024 13ZA0139);; 国家自然科学基金(11071178);; 四川省教育厅青年基金(10ZB027);; 四川民族学院科研基金(12XYZB006)对本文给予了资助
【CateGory Index】: O159
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