Abstract
The twenty-two papers in this special section focus on fuzzy decision systems for sustainable transport. Sustainable transport has gained widespread recognition by countries, local governments, cities, and transport authorities around the world to bring about positive change for the environment, ensure wider accessibility, and reduce carbon emissions. Many countries and cities have redesigned their transport systems to make them more sustainable. Road vehicles, such as cars, trucks, buses, and two-and three-wheeled vehicles, account for almost three-quarters of CO2 emissions in transport. Emissions from them continue to increase, and more international policy and cooperation focus is needed in these areas. Fuzzy decision systems are one of the most important advances in computational intelligence. The recent theoretical developments in the area of fuzzy decision systems provide novel perspectives for the key mechanisms of decision making and information processing that can handle uncertain, ambiguous, noisy, and missed input information in sustainable transport problems and decisions.
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