IADES Startup

h1. IADES Publications

h2. [[Computational Intelligence Applied to Decision-Making in Uncertain Environments (2025) Springer]]

* Pérez, P. Y. P., Pupo, I. P., Kacprzyk, J., & Pérez, R. E. B. (Eds.). (2025). Computational Intelligence Applied to Decision-Making in Uncertain Environments. Springer Nature Switzerland

!https://media.springernature.com/w120/springer-static/cover-hires/book/978-3-031-83643-5?as=webp!

This book is dedicated to all those interested in the application of computational intelligence techniques for decision-making in uncertain environments. The book is organized into four parts. The first part groups together four works related to conversational systems and decision-making using generative artificial intelligence. The second part includes four articles associated with decision-making in project-oriented environments. The third part includes three works related to decision-making in human health environments and decision-making in sports training. The fourth part of the book contains three articles associated with business decision-making.

h2. [[Computational Intelligence in Engineering and Project Managemen  (2024) Springer]]

* Pérez, P. Y. P., Kacprzyk, J., Pérez, R. B., & Pupo, I. P. (Eds.). (2024). Computational Intelligence in Engineering and Project Management. Springer. https://doi.org/10.1007/978-3-031-50495-2

!https://media.springernature.com/w120/springer-static/cover-hires/book/978-3-031-50495-2?as=webp!

This 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 application and extension of computational intelligence...

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

!https://media.springernature.com/w120/springer-static/cover-hires/book/978-3-030-97269-1?as=webp!

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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