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Intelligent systems and applications...

Luukka, Pasi.

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Intelligent systems and applications in business and finance

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent systems and applications in business and finance/ edited by Pasi Luukka, Jan Stoklasa.
其他作者:	Luukka, Pasi.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	ix, 216 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Business - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-3-030-93699-0
ISBN:	9783030936990

Intelligent systems and applications in business and finance
Intelligent systems and applications in business and finance[electronic resource] /edited by Pasi Luukka, Jan Stoklasa. - Cham :Springer International Publishing :2022. - ix, 216 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v. 4151860-0808 ;. - Studies in fuzziness and soft computing ;v. 415..

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.

ISBN: 9783030936990

Standard No.: 10.1007/978-3-030-93699-0doiSubjects--Topical Terms:

2054530
Business
--Technological innovations.

LC Class. No.: HD45 / .I58 2022

Dewey Class. No.: 658.4062

Intelligent systems and applications in business and finance
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520 $a 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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