The paper proposes a rank-dependent bi-criterion (travel time & monetary travel cost) equilibrium model for route choice problems, stochasticities in both the criteria measurements and the subjective preferences are considered simultaneously. Travelers rank all the choices, according to the...

Fraud problems in loan application assessment cause significant losses for finance companies worldwide, and much research has focused on machine learning methods to improve the efficacy of fraud detection in some financial domains. However, diverse information falsification in individual fraud...

Day-to-day traffic (DTD) dynamic systems have attracted much attention recently as a powerful tool to describe the evolution of network flows over time. A number of DTD models adopting various behavioral principles have been proposed, but for most of them, either their assumptions are introduced...