Rate the Article: Using Fuzzy Classifier for Cholera Analysis , IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 135 | Views: 328

Research Paper | Computer Science & Engineering | Nigeria | Volume 3 Issue 8, August 2014 | Rating: 6.6 / 10


Using Fuzzy Classifier for Cholera Analysis

Okpor. M. D


Abstract: Cholera is a water borne disease which is epidemic and life-threatening in nature. It is usually characterized by numerous, voluminous watery stools, often accompanied by vomiting, and resulting in hypovolemic shock and acidosis. It is caused by a bacteria species Vibrio cholera which can also cause mild or in apparent infections. In this research paper fuzzy classification (classifier) a branch of soft-computing and subsequently a branch of Artificial intelligence is applied to objective recognition of cholera which invariably eliminates the uncertainty associated with conventional approach for cholera diagnosis.


Keywords: Cholera, Fuzzy classifier, Fuzzy set, Fuzzy logic, Expert system


Edition: Volume 3 Issue 8, August 2014,


Pages: 314 - 317



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