LEADER 05098nam 22006375 450 001 9910838275703321 005 20250807153303.0 010 $a9783031504952 010 $a303150495X 024 7 $a10.1007/978-3-031-50495-2 035 $a(MiAaPQ)EBC31169198 035 $a(Au-PeEL)EBL31169198 035 $a(DE-He213)978-3-031-50495-2 035 $a(CKB)30464663700041 035 $a(OCoLC)1423131463 035 $a(EXLCZ)9930464663700041 100 $a20240219d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence in Engineering and Project Management /$fedited by Pedro Yobanis Piñero Pérez, Janusz Kacprzyk, Rafael Bello Pérez, Iliana Pérez Pupo 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (365 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1134 311 08$a9783031504945 311 08$a3031504941 327 $aCritical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction. 330 $aThis book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the applicationand extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. . 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1134 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aProject management 606 $aComputational Intelligence 606 $aData Engineering 606 $aProject Management 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aProject management. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aProject Management. 676 $a006.3 700 $aPiñero Pérez$b Pedro Yobanis$01726270 701 $aKacprzyk$b Janusz$021367 701 $aBello Pe?rez$b Rafael$01726271 701 $aPupo$b Iliana Pérez$01726272 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910838275703321 996 $aComputational Intelligence in Engineering and Project Management$94131989 997 $aUNINA