001445823 000__ 05730cam\a2200589Ii\4500 001445823 001__ 1445823 001445823 003__ OCoLC 001445823 005__ 20230310003852.0 001445823 006__ m\\\\\o\\d\\\\\\\\ 001445823 007__ cr\un\nnnunnun 001445823 008__ 220410s2022\\\\sz\a\\\\o\\\\\000\0\eng\d 001445823 019__ $$a1310158489$$a1310396534$$a1310616248 001445823 020__ $$a9783030972691$$q(electronic bk.) 001445823 020__ $$a3030972690$$q(electronic bk.) 001445823 020__ $$z9783030972684 001445823 020__ $$z3030972682 001445823 0247_ $$a10.1007/978-3-030-97269-1$$2doi 001445823 035__ $$aSP(OCoLC)1310074416 001445823 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ 001445823 049__ $$aISEA 001445823 050_4 $$aHD69.P75$$bA78 2022 001445823 08204 $$a658.4/04028563$$223 001445823 24500 $$aArtificial intelligence in project management and making decisions /$$cPedro Y. Piñero Pérez, Rafael E. Bello Pérez, Janusz Kacprzyk, editors. 001445823 264_1 $$aCham :$$bSpringer,$$c[2022] 001445823 264_4 $$c©2022 001445823 300__ $$a1 online resource :$$billustrations (some color). 001445823 336__ $$atext$$btxt$$2rdacontent 001445823 337__ $$acomputer$$bc$$2rdamedia 001445823 338__ $$aonline resource$$bcr$$2rdacarrier 001445823 4901_ $$aStudies in computational intelligence ;$$vvolume 1035 001445823 5050_ $$aPart 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. 001445823 506__ $$aAccess limited to authorized users. 001445823 520__ $$aThis 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. 001445823 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 13, 2022). 001445823 650_0 $$aProject management$$xData processing. 001445823 650_0 $$aProject management$$xDecision making. 001445823 650_0 $$aArtificial intelligence. 001445823 650_6 $$aGestion de projet$$xInformatique. 001445823 650_6 $$aGestion de projet$$xPrise de décision. 001445823 650_6 $$aIntelligence artificielle. 001445823 655_0 $$aElectronic books. 001445823 7001_ $$aPiñero Pérez, Pedro Y.,$$eeditor. 001445823 7001_ $$aBello Pérez, Rafael,$$eeditor. 001445823 7001_ $$aKacprzyk, Janusz,$$eeditor. 001445823 77608 $$iPrint version: $$z3030972682$$z9783030972684$$w(OCoLC)1294283144 001445823 830_0 $$aStudies in computational intelligence ;$$vv. 1035. 001445823 852__ $$bebk 001445823 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-97269-1$$zOnline Access$$91397441.1 001445823 909CO $$ooai:library.usi.edu:1445823$$pGLOBAL_SET 001445823 980__ $$aBIB 001445823 980__ $$aEBOOK 001445823 982__ $$aEbook 001445823 983__ $$aOnline 001445823 994__ $$a92$$bISE