Abstract
Statics approaches based on random utility theory such as logit model have been used for description of travel behaviour. Fuzzy reasoning and neural network have been introduced as recent applicable techniques as well. Recently, many fuzzy neural network models to integrate their advantages have been proposed. And these models are reported to provide good performance in some fields.
In this study, models for the choice behaviour description with fuzzy neural networks are proposed. Moreover, some other models are applied to the same sample data prepared for establishment of logit model. The general step of model building can be mentioned and applicability of each model is discussed from the result of comparison.
