Fuzzy data mining is used to extract fuzzy knowledge from linguistic or quantitative data. It is an extension of traditional data mining and the derived knowledge is relatively meaningful to human beings. In the past, we proposed a mining algorithm to find suitable membership functions for fuzzy association rules based on ant colony systems. In that approach, precision was limited by the use of...

The integration of multiple viewpoints became an increasingly popular approach to deal with agent-based simulations. Despite their disparities, recent approaches successfully manage to run such multi-level simulations. Yet, are they doing it appropriately? This paper tries to answer that question, with an analysis based on a generic model of the temporal dynamics of multi-level simulations. Thi...

Development of technology has made possible the invention of innovative and modern methods to solve partially the problems caused by traffic congestion, through decreasing the need for physical transportation; one such method being telecommuting. Few predictions have been reported regarding its aggregate demand at the level of a city, generally because of the complexity and multi-dimensionality...