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- W4385385962 abstract "The article aims to accelerate strategic meetings in the country’s regional governments. The fuzzy cognitive modelling and fuzzy cognitive maps (FCM), along with the author’s convergent methodology, have helped to make this goal achievable. The convergent methodology suggests a unique approach for structuring information generated during the strategic meeting by applying the inverse problem-solving method to the fuzzy cognitive modelling to transform the divergent strategic discussion into a convergent one and make a strategic meeting sustainable and purposeful. The FCM helps to represent the non-formalisable cognitive semantics of computer models. The relevant big data analysis was used to justify fuzzy cognitive models and create them automatically. A high level of accuracy was achieved for verifying models; however, the accuracy of the latter process needed to be higher. The practical objective was to speed up the collective creation of a strategy for youth policy development for one of the country’s regions. Three dozen participants, including remote experts and the youth policy department authorities, took part in the strategic meeting. It took five hours to collective building the draft of the strategy." @default.
- W4385385962 created "2023-07-30" @default.
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- W4385385962 date "2023-01-01" @default.
- W4385385962 modified "2023-09-27" @default.
- W4385385962 title "Convergent Fuzzy Cognitive Modelling of Regional Youth Policy Strategy" @default.
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- W4385385962 doi "https://doi.org/10.1007/978-981-99-3091-3_74" @default.
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