Aplicação de um sistema fuzzy para diagnostico de cancer do esofago / Fuzzy system application for esophagus cancer diagnosis

AUTOR(ES)

Jorge Kawamura

DATA DE PUBLICAÇÃO

2007

RESUMO

The aim of this work is to use the artificial intelligent methods to diagnose esophagus cancer. The artificial intelligence theme has many areas, so this study concentrated in fuzzy system concepts. The lack of intelligent system in health´s area motivated this study and fuzzy theory was chosen by its simplicity. This type of system has characteristics like existence of a doubt region in the information analysis and its interpretation´s methods is closer to human language. The inference models used are Mamdani and Sugeno models. The advantages and disadvantages are checked too. From esophagus cancer characteristics and fuzzy system concepts, a system to diagnose esophagus cancer was built

ASSUNTO(S)

mamdani´s model diagnosis fuzzy logic conjuntos difusos esofago - doenças sugeno´s model logica difusa fuzzy set cancer esophagus cancer

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