Browsing by Author "Secrieru, Iulian"

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    Integrated Decision Intelligence Approach to Catalyse the Valorisation of Knowledge Assets [Articol]
    (2024) Secrieru, Iulian; Gutuleac, Elena; Popcova, Olga
    IDI is a new direction aimed at improving decision-making efficiency by using advanced methods and technologies (including artificial intelligence, machine learning and data analysis). Developing digital support for IDI would bridge the gap between traditional methodologies based on knowledge, skills and expert experience, and the capabilities offered by data-driven analysis. In this paper, we present how the IDI approach can be used for previously created knowledge assets in the medical diagnostics domain to catalyse their valorisation as a source of reasoning.
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    MODELE MATEMATICE DE EXPERTIZĂ ÎN DOMENII ŞTIINŢIFICE
    (Academia de Ştiinţe a Moldovei, 2013) Arnaut, Vsevolod; Gaindric, Constantin; Damian, Florin; Magariu, Galina; Rogojin, Iurie; Secrieru, Iulian; Verlan, Tatiana; Vulpe, Nicolae
    For the purpose of forming a team of scientific experts to evaluate each project submitted to the announced competitions, the authors propose an approach such that team members to be the most advisable to properly estimate the project amenable to evaluation. An algorithm that consists of assigning a numerical value to each expert which will express the expert’s potential (rating) is proposed. It takes into account importance of scientifi c projects in which the expert had participated, journals where he had published his results and scientifi c forums where he had participated with reports. Also, there is proposed an approach to the modes of hierarchization of journals, conferences and grants in accordance with scientific domain. Domains Mathematics and Computer Science are presented as the example.