Fuzzy Logistic Regression models with their application in Medicine

This book points out to logistic regression analysis in fuzzy environment. In this regard, three clinical situations are considered with a proposed method for each one. First and second methods model fuzzy diagnosis based on a set of non fuzzy (crisp) variables by using a real number and a fuzzy number for the possibility of being ill, respectively. The third model is proposed for a situation of no ambiguities in diagnosis but in the relations among the variables.