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IADES Publications » Histórico » Revisión 12

Revisión 11 (Pedro Yobanis Piñero Pérez, 2025-07-29 14:56) → Revisión 12/27 (Pedro Yobanis Piñero Pérez, 2025-07-29 14:56)

h1. IADES Publications 

 h2. [[Artificial Intelligence in Project Management and Making Decisions (2022) Switzerland Springer International Publishing]]  

 Piñero Pérez, P.Y., Bello Pérez, R.E., Kacprzyk, J. (eds) Artificial Intelligence in Project Management and Making Decisions. UCIENCIA 2021. Studies in Computational Intelligence, vol 1035. Springer,    https://doi.org/10.1007/978-3-030-97269-1 

 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 


 #IADES, #CIDIIA, #AIAS, #ArtificialIntelligence, #Sustainability 

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! 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