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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.
List of contents
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 .
