This book presents a selection of current research results in the field of intelligent systems and draws attention to their practical applications and issues connected with the areas of decision-making, economics, business and finance. The nature of the contributions is interdisciplinary combining psychological and behavioural aspects with the theory and practice of decision-support, design of intelligent systems and development of machine learning tools. The authors, among other topics, discuss the multi-expert evaluation with intangible criteria, suggest a redefinition of the standard multiple-criteria decision-making framework, propose novel methods for causal map analysis and new feature selection methods. The topics are selected to stress the potential of the up-to-date intelligent methods to deal with practical problems relevant in these areas and to provide inspiration for advanced students, researchers and practitioners in the respective fields.

Presents recent research in Intelligent systems and applications in business and finance Presents novel methods and tools for analytics in business, industry and finance Written by experts in the field

Inhalt
Chapter 1: Attitude-based multi-expert evaluation of design.- Chapter 2: An investigation of hidden shared linkages among perceived causal relationships in cognitive maps.- Chapter 3: A new framework for multiple-criteria decision making: The baseline approach.- Chapter 4: Fuzzy similarity and entropy (FSAE) feature selection revisited by using intra-class entropy and a normalized scaling factor.- Chapter 5: A region-based approach for missing value imputation of cooling technologies for the global thermal power plant fleet using a decision tree classifier.- Chapter 6: A neural network based multi-class trading strategy for the S&P 500 index.- Chapter 7: Predicting short-term traffic speed and speed drops in the urban area of a medium-sized European city - a traffic control and decision support perspective.- Chapter 8: Hedging effectiveness of currency ETFs against WTI crude oil price fluctuations .