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Intelligent Systems and Applications in Business and Finance

Om Intelligent Systems and Applications in Business and Finance

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030937010
  • Bindende:
  • Paperback
  • Sider:
  • 228
  • Utgitt:
  • 5 mars 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 155x13x235 mm.
  • Vekt:
  • 353 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 12 oktober 2024

Beskrivelse av Intelligent Systems and Applications in Business and Finance

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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