The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the...

The book quantifies the impact of in-port ships greenhouse gas emissions and air pollution in adjacent cities, and evaluates the feasibility of implementing shore-side electricity facilities in Europe to reduce the unwanted social and environmental effects of ships at berth. The book also discusses the potential of future green ports and the use of shore side electricity as a means of achieving them. Individual chapters focus on the economic and social costs of in-port ships emissions by illustrating current environmental policies to mitigate air emissions and the available abatement...

This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the...