Intelligent Systems and Applications in Business and Finance

ISBN-13: 9783030936983 / Angielski / Twarda / 2022 / 228 str.

Pasi Luukka; Jan Stoklasa

Spis treści

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 .

Blurb

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.