Artificial Intelligence in Project Management and Making Decisions

This book explores new developments in computational intelligence and its applications in project management and BIM environments. It covers various soft computing techniques, such as linguistic data summarization, fuzzy systems, evolutionary algorithms, and more, and discusses the use of the neutrosophic theory to handle uncertainty in decision-making processes. It is a valuable resource for professionals, researchers, and students in these fields.

Format: Paperback / softback
Length: 431 pages
Publication date: 09 April 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest advancements and breakthroughs in the realm of computational intelligence, encompassing its theoretical foundations, practical applications, and design methodologies. Spanning a wide range of soft computing techniques, including linguistic data summarization, fuzzy systems, evolutionary algorithms, estimation distribution algorithms, computing with words, augmented reality, and hybrid intelligence systems, the book offers a comprehensive exploration of cutting-edge technologies. Moreover, it presents diverse applications of the neutrosophic theory, highlighting its significance in addressing uncertainty and indeterminacy in decision-making processes. Several chapters serve as systematic reviews, providing valuable insights for future research in areas such as linguistic data summarization, augmented reality, and the development of BIM technologies. This book is a valuable resource for engineers, researchers, specialists, teachers, and students engaged in project management and the advancement of BIM technologies, offering a deep understanding of the latest developments and their potential implications.

Introduction:
Computational intelligence (CI) has emerged as a powerful tool in various fields, including project management and Building Information Modeling (BIM). This book aims to present the latest developments and advances in the theory, applications, and design methods of CI, integrating them into diverse areas of project management and BIM environments.
Chapter 1:
The first chapter provides an overview of CI, its theoretical foundations, and its applications in project management. It discusses the role of CI in improving project efficiency, decision-making, and risk management. The chapter also highlights the importance of integrating CI with other technologies such as artificial intelligence, big data, and cloud computing.
Chapter 2:
The second chapter focuses on linguistic data summarization, a crucial aspect of CI. It discusses various techniques for extracting meaningful information from large datasets, such as text mining, natural language processing, and machine learning. The chapter also explores the application of linguistic data summarization in project management, such as project documentation, risk analysis, and decision-making.
Chapter 3:
The third chapter delves into fuzzy systems, a branch of CI that deals with the representation and manipulation of uncertain information. It discusses the principles of fuzzy logic, fuzzy sets, and fuzzy reasoning. The chapter also presents practical applications of fuzzy systems in project management, such as decision-making under uncertainty, project scheduling, and resource allocation.
Chapter 4:
The fourth chapter explores evolutionary algorithms, a class of CI that mimics the natural process of evolution. It discusses the principles of genetic algorithms, simulated annealing, and evolutionary programming. The chapter also presents practical applications of evolutionary algorithms in project management, such as optimization, pattern recognition, and machine learning.
Chapter 5:
The fifth chapter focuses on estimation distribution algorithms, a class of CI that is used for modeling and analyzing uncertain data. It discusses the principles of Bayesian inference, Markov chain Monte Carlo, and decision trees. The chapter also presents practical applications of estimation distribution algorithms in project management, such as risk analysis, scenario planning, and decision-making under uncertainty.
Chapter 6:
The sixth chapter explores computing with words, a novel approach to CI that involves the use of natural language processing and word embeddings. It discusses the principles of word embeddings, sentiment analysis, and topic modeling. The chapter also presents practical applications of computing with words in project management, such as project documentation, team communication, and knowledge management.
Chapter 7:
The seventh chapter explores augmented reality (AR), a technology that combines virtual reality with the real world. It discusses the principles of AR, its applications in project management, and its potential benefits in terms of visualization, collaboration, and decision-making. The chapter also presents practical applications of AR in project management, such as site inspections, project visualization, and training.
Chapter 8:
The eighth chapter explores hybrid intelligence systems, a combination of different CI techniques. It discusses the principles of hybrid intelligence, its advantages and disadvantages, and its applications in project management. The chapter also presents practical applications of hybrid intelligence systems in project management, such as decision-making under uncertainty, optimization, and machine learning.
Chapter 9:
The ninth chapter presents various applications of the neutrosophic theory in decision-making processes. The neutrosophic theory is a multi-valued logic that combines the principles of classical logic with the concept of uncertainty. It is used to address the trade-offs between different decision criteria and to provide a more comprehensive decision-making framework.
Chapter 10:
The tenth chapter constitutes a systematic review of the literature on linguistic data summarization, augmented reality, and the development of BIM technologies. It provides a comprehensive overview of the current state-of-the-art research in these areas and highlights the potential future directions for research and development.
Conclusion:
In conclusion, this book presents the latest developments and advances in the theory, applications, and design methods of computational intelligence, integrating them into diverse areas of project management and BIM environments. The chapters of the book span different soft computing techniques, such as: linguistic data summarization, fuzzy systems, evolutionary algorithms, estimation distribution algorithms, computing with words, augmented reality, and hybrid intelligence systems. In addition, different applications of the neutrosophic theory are presented for the treatment of uncertainty and indeterminacy in decision-making processes. Several chapters of the book constitute systematic reviews, useful for future investigations in the following topics: linguistic summarization of data, augmented reality, and the development of BIM technologies. It is a particularly interesting book for engineers, researchers, specialists, teachers, and students related to project management and the development of BIM technologies.

Weight: 676g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030972714
Edition number: 1st ed. 2022