Abstract: Learning and tuning of fuzzy rule-based systems is the core issue for linguistic fuzzy modeling. To achieve an accurate linguistic fuzzy model genetic learning of initial rule base is introduced ...

Abstract: This paper develops a bilevel programming model to locate park-and-ride (P&R) facilities with the capability of capturing the interactions between decision makers and commuters. The upper-level model represents the ...

Abstract: Carbon dioxide sequestration in unminable coal bed seams has been proposed as an option to mitigate the excessive emissions of carbon dioxide (CO2) from burning fossil fuels (coal, crude oil fractions, and natural gas) and ...

Abstract: This paper presents a novel approach to smoothen the abrupt stiffness variation along railway transitions and provides a step-by-step design of a multistep transition zone comprising adjoining segments with changing stiffness ...