Intelligent Systems and Applications in Business and Finance

The book presents current research results in intelligent systems, combining psychological and behavioral aspects with decision-support, design, and machine learning tools. It discusses multi-expert evaluation, redefines the standard framework, proposes novel methods, and highlights the potential to address practical problems in decision-making, economics, business, and finance.

Format: Hardback
Length: 216 pages
Publication date: 04 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest research findings in the realm of intelligent systems, highlighting their practical applications and the associated challenges in decision-making, economics, business, and finance. The contributions presented in this volume are interdisciplinary, drawing upon psychological and behavioral aspects alongside theoretical and practical expertise in decision-support systems, intelligent system design, and machine learning tools. The authors explore a range of topics, including the evaluation of experts with intangible criteria, the reimagining of the standard multiple-criteria decision-making framework, the introduction of novel methods for causal map analysis, and the development of innovative feature selection techniques. The selection of topics aims to emphasize the potential of modern intelligent methods to address real-world problems relevant to these domains, while also serving as a source of inspiration for advanced students, researchers, and practitioners in these fields.

Introduction:
The field of intelligent systems has witnessed significant advancements in recent years, driven by the convergence of various disciplines such as computer science, psychology, and economics. These systems are designed to enhance decision-making processes, automate tasks, and provide insights into complex systems. This book aims to showcase the latest research results in the field of intelligent systems and their practical applications.

Contributions:
The book includes a selection of interdisciplinary contributions from leading experts in the field. The authors discuss a wide range of topics, including:

• Multi-Expert Evaluation with Intangible Criteria: The authors propose novel methods for evaluating experts with intangible criteria, such as experience and expertise. They discuss the challenges associated with such evaluations and suggest ways to improve the accuracy and reliability of the results.


• Redefining the Standard Multiple-Criteria Decision-Making Framework: The authors propose a redefinition of the standard multiple-criteria decision-making framework to incorporate psychological and behavioral factors into the decision-making process. They discuss the advantages and limitations of existing frameworks and propose new approaches to address the limitations.


• Novel Methods for Causal Map Analysis: The authors introduce novel methods for causal map analysis, which is a powerful tool for understanding the relationships between variables in complex systems. They discuss the application of causal map analysis in various domains, such as healthcare and finance.


• New Feature Selection Methods: The authors propose new feature selection methods for machine learning algorithms. They discuss the challenges associated with feature selection and introduce novel approaches to identify the most relevant and informative features for accurate classification and prediction.

Conclusion:
This book provides a valuable resource for advanced students, researchers, and practitioners in the fields of intelligent systems, decision-making, economics, business, and finance. The interdisciplinary nature of the contributions highlights the importance of integrating psychological and behavioral aspects with technical expertise to develop effective and sustainable intelligent systems. The book serves as a roadmap for future research and development in the field, providing insights into the potential applications of intelligent systems in various domains.

Weight: 512g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030936983
Edition number: 1st ed. 2022