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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Book 2022 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 s

礼节

Hypomania

思考

Linguistic Data Summarization with Multilingual Approachallow the discovery of behavior patterns and their interpretability. In this context, the linguistic summarization of data arises as one of the descriptive knowledge discovery techniques with a promising approach to produce summaries from a database using natural language, where authors such as Yage

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Project to Improve Offensive Phase Finalization of Futsal Teams by Using Linguistic Data Summarizatiummaries, authors apply linguistic data summarization techniques. The linguistic summaries are storage in database and later use for coaches for decision-making on 2019 season. To validate the research, authors analyze the variables involved in the offensive phase finalization in the “.” futsal team

manifestation

Algorithms for Linguistic Description of Categorical Data summaries reflect Evidence, Contrast, or Emphasis relations between at least two constituent summaries. The constituent summaries are instances of the LDS classical protoforms created, in this case, with frequent L1 item sets and association rules obtained from applying an association rule mining a

malign

New Indicators for the Assessment of Linguistic Summaries Considering a Rough Sets Approachry and the neutrosophic theory are combined. Several of the proposed indicators expand the traditional indicators reported in the bibliography. For comparisons, the authors design a set of 29 test cases that represent different equivalence classes of project management decision-making scenarios. The

iodides

Constraints Learning Univariate Estimation of Distribution Algorithm on the Multi-mode Project Schedng into account the resources they consume, to more sophisticated variants that consider several modes of processing of projects tasks, generalization of precedence relationships, multiple projects simultaneously and projects with variable resources. In this sense, various algorithms, both exact and

TATE

New Methods for Feasibility Analysis of Investment Projects in Uncertain Environmentsit involves multiple criteria, which are evaluated in uncertain environments. This paper presents a model to perform the feasibility analysis of investment projects in uncertain environments using soft computing techniques. The model includes technical, economic, social and commercial criteria and t

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