Abstract

In this study, a model called “fuzzy reasoning model” was proposed for the case when the explanatory variables were crisp and the value of the binary response variable was reported as a number between zero and one. In this regard, the concept of possibilistic odds is also introduced. Then, the methodology and formulation of this model was used to explain the model parameters. Some goodness of fit criteria were proposed and a numerical example was given as an example.

Key words: Fuzzy number, defuzzification, centroid, clinical research.