Modelagem fuzzy para descrever o grau de agressividade de tumores

Abstract

In order to decide the cancer treatment is necessary to predict their stage. For this, there are in the urological literature several mammograms based on probability theory to assist clinicians in decision making. The fuzzy system based in rule fuzzy is presented for its ability to treat uncertainties. In addiction, the p-fuzzy dynamical system is used to illustrated the use of that theory. However, this study is based in p-fuzzy dynamical systems, dynamic systems that are partially fuzzy where only some components of the problems are fuzzy. The fuzzy rules based system provides results in terms of possibility of the patient being in certain pathological disease stage or not from the use of information such as the Gleason score, the tumor volume, the clinical and surgical conditions. The fuzzy system based in rule fuzzy is presented for its ability to treat uncertainties. In addiction, the p-fuzzy dynamical system is used to illustrated the use of that theory.