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Intelligent Systems and Applications in Business and Finance

Über 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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  • Sprache:
  • Englisch
  • ISBN:
  • 9783030937010
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 228
  • Veröffentlicht:
  • 5. März 2023
  • Ausgabe:
  • 23001
  • Abmessungen:
  • 155x13x235 mm.
  • Gewicht:
  • 353 g.
  Versandkostenfrei
  Sofort lieferbar
Verlängerte Rückgabefrist bis 31. Januar 2025

Beschreibung von 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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