Artificial Intelligence in Project Management and Making Decisions

1. Auflage 2022
ISBN: 978-3-030-97271-4
Verlag: Springer International Publishing

Buch, Englisch, Band 1035, 431 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 668 g

Reihe: Studies in Computational Intelligence

This book presents new developments and advances in the theory, applications, and design methods of computational intelligence, integrated in various 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.

Zielgruppe

Research

Autoren/Hrsg.

Piñero Pérez, Pedro Y.

Kacprzyk, Janusz

Bello Pérez, Rafael E.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement

Inhaltsverzeichnis

Part I: Linguistic Data Summarization for Decision-Making in Project Management.- Linguistic Data Summarization: A Systematic Review.- New Linguistic Data Summarization Approach for Prediction Problems in Project Management Applications.- Linguistic Data Summarization with Multilingual Approach.- Project to Improve Offensive Phase Finalization of Futsal Teams by Using Linguistic Data Summarization Techniques.- Algorithms for Linguistic Description of Categorical Data.- New Indicators for the Assessment of Linguistic Summaries Considering a Rough Sets Approach.- Part II: Planning and Sustainability of Projects Assisted by Artificial Intelligence.- Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Scheduling Problem.- New Methods for Feasibility Analysis of Investment Projects in Uncertain Environments.- Sustainability Risk Management for Project-Oriented Organizations.- New Extensions of Fuzzy Cognitive Maps for Sequential Multistage Decision-Making Problems: Application in Project Management.- A Software Ecosystem for Project Management in BIM Environments Assisted by Artificial Intelligent Techniques.- Part III: Knowledge and Human Resources Management Assisted by Artificial Intelligence.- Team Formation Integrating Various Factors: Model and Solution Approach.- A TOPSIS-based Method for Personnel Selection in Software Projects.- Combining Artificial Intelligence and Project Management Techniques in Ecosystem for Training and Innovation.- Evaluation of an Accreditation Variable for University Institutions Using 2 Tuple Linguistic Representation Model.- Ontology-based Management of the Scientific Activity in Software Development Projects.- Project Management Repository for Decision-Making Researches.- Part IV: BIM and Other Emerging Technologies in Project Management.- Relevance of the National Program of Automatic, Robotics and Artificial Intelligence projects in Applications.- Tendencies in Augmented Reality.- Integration of Augmented Reality and BIM in Early Stages to Improve Design Management in Engineering and Construction Projects.- Design of a Proposal for The Implementation of Scope, Schedule and Cost Management in Fast-Track Projects Using BIM Methodology in 3D, 4D and 5D.- Hybrid System (M-SALD) of Multicriterial Analysis as a Decision Support Tool for the Selection of Areas for the Construction of Hydraulic Structures.- Trends in Photogrammetry and its Integration with Artificial Intelligence.