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: Paperback / softback
Length: 216 pages
Publication date: 05 March 2023
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 presents a selection of interdisciplinary contributions that combine psychological and behavioral aspects with decision-support theory and practice. The authors discuss various topics, including multi-expert evaluation with intangible criteria, the redefinition of the standard multiple-criteria decision-making framework, the proposal of novel methods for causal map analysis, and the development of new feature selection methods.

Interdisciplinary Nature:
One of the key strengths of the contributions is their interdisciplinary nature. The authors draw upon insights from multiple fields, such as decision-making psychology, cognitive science, and machine learning, to address complex problems in intelligent systems. This approach allows for a holistic understanding of the issues and provides innovative solutions.

Practical Applications:
The book emphasizes the practical applications of the research findings. The authors discuss how intelligent systems can be used in various industries, such as healthcare, finance, and transportation, to improve decision-making processes and enhance efficiency. They also address the challenges associated with implementing these systems, such as data privacy, ethical considerations, and the need for user acceptance.

Conclusion:
In conclusion, this book presents a comprehensive overview of the latest research results in the field of intelligent systems. It highlights the interdisciplinary nature of the contributions and their practical applications in decision-making, economics, business, and finance. The book serves as a valuable resource for advanced students, researchers, and practitioners in these fields, providing inspiration for further research and development.

Weight: 355g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030937010
Edition number: 1st ed. 2022