Supplementary Files
Keywords
maximization of entropy
fuzzy optimization
intervalar costs
How to Cite
Abstract
In this paper we propose the formulation of a model for urban double travel distribution delimited at origin and destination, based on the maximization of entropy and minimization of the generalized travel costs by relaxing the condition that such costs are a parameter, extending the formulation under the assumption that they are fuzzy variables with an intervalar function. In addition, given such assumptions, we propose a formulation of an optimization model associated with discrete choices, and we present a proposal for using the model in predictions. A numerical example is developed for explaining the theory developed.
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