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Intelligent Systems and Applications in Business and Finance / edited by Pasi Luukka, Jan Stoklasa

Contributor(s): Luukka, Pasi, editor literario | Stoklasa, Jan, editor literario
Material type: materialTypeLabelE-bookSeries: (Studies in Fuzziness and Soft Computing, 1860-0808; 415).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (IX, 216 páginas) : 66 ilustraciones, 60 ilustraciones a color.ISBN: 9783030936990.Subject: Innovaciones tecnológicas | NegociosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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 .
In: Springer Nature eBookSummary: 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. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales HD45 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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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 .

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. .

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