Construction of modal choice model with a descriptive utility function using fuzzy reasoning

It is important in travel behaviour analysis to construct precise discrete choice models. Stochastic models based on the random utility theory such as logit models and fuzzy reasoning models can be combined in order to create advanced models for the estimation of travel behaviour as hybrid models. Particularly, logit models with fuzzy logic utility functions have been proposed. It is known that the utility function described with fuzzy inference rules can reflect human decisions with vagueness on the logit models. Multinominal fuzzy logit models are applied to a modal choice problem in this study. In particular, the fuzzy inference rules and parameters of membership functions are determined using GA