IJCATR Volume 4 Issue 10

Detection of Anemia using Fuzzy Logic

Sonu Malu B. L. Pal Shiv Kumar
10.7753/IJCATR0410.1008
keywords : Anemia, Fuzzy Logic, Fuzzy Expert System, CBC Test

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Medical Science is considered as a field of uncertainty, vagueness and complexity. Fuzzy logic plays an important role to deal with these uncertainty, vagueness and complexity. Detection of diseases in medical is a very difficult task. To improve accuracy rate engineers helping in detection of the diseases by developing the Expert System using Fuzzy Logic. Fuzzy logic consists of many valued logic. It has varying values in the range of 0 and 1 instead of fix values. In this study, we developed a Fuzzy Expert system to detect Anemia on the basis of Symptoms as well as clinical test.
@artical{s4102015ijcatr04101008,
Title = "Detection of Anemia using Fuzzy Logic",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="10",
Pages ="715 - 785",
Year = "2015",
Authors ="Sonu Malu B. L. Pal Shiv Kumar"}
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