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Titlebook: Artificial Intelligence in Project Management and Making Decisions; Pedro Y. Piñero Pérez,Rafael E. Bello Pérez,Janusz Book 2022 The Edito

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https://doi.org/10.1057/978-1-137-58953-8al strategies are applied. To this end, approaches and models are used to define the dimensions for measuring sustainability. The increase of Cuban companies makes necessary the implementation of tools that contribute to the sustainability of an organization. This research aims to develop a procedur
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Thomas Johansson,Jesper Andreassonbibliography regarding the treatment of indeterminacy and the solution of multistage sequential decision-making problems. In this paper, two new extensions of Fuzzy Cognitive Maps (FCMs) for multistage sequential decision-making problems are proposed. The Multistage Sequential Triangular Neutrosophi
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Thomas Johansson,Jesper Andreassonescribes a model for multiple team formation that, unlike existing models, it integrates a diversity of factors, both individual and collective and therefore it can be used in various contexts. The model includes the following factors: competences, workload, cost of communication in the team, incomp
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https://doi.org/10.1057/978-1-137-46178-0e quality in this level. There are different ways to develop these accreditation processes, with different visions and parameters and there are quantitative and qualitative approaches for their evaluation. In Cuba, there is a System of Evaluation and Accreditation for High Education, which establish
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Orienting Frameworks and Concepts,survey applied to software project managers where the 93% of the surveyors point out that a deficient management of the scientific activity of the project may affect the quality of the developed products and provoke deviations in the project. To tackle these deficiencies, an ontology-based approach
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Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Schedoup of experiments was developed on five databases of the PSPLib library, comparing the proposed algorithm with others reported in the literature. The experimental results show the superiority of the CL_UMDA performance over other algorithms used in the experimentation.
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