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Artificial intelligence in project management and making decisions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in project management and making decisions/ edited by Pedro Y. Pinero Perez, Rafael E. Bello Perez, Janusz Kacprzyk.
其他作者:	Pinero Perez, Pedro Y.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xi, 431 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Project management - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-97269-1
ISBN:	9783030972691

Artificial intelligence in project management and making decisions
Artificial intelligence in project management and making decisions[electronic resource] /edited by Pedro Y. Pinero Perez, Rafael E. Bello Perez, Janusz Kacprzyk. - Cham :Springer International Publishing :2022. - xi, 431 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 10351860-9503 ;. - Studies in computational intelligence ;v. 1035..

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.

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.

ISBN: 9783030972691

Standard No.: 10.1007/978-3-030-97269-1doiSubjects--Topical Terms:

879398
Project management
--Data processing.

LC Class. No.: HD69.P75 / A78 2022

Dewey Class. No.: 658.404028563

Artificial intelligence in project management and making decisions
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520 $a 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.
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