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  2. 422

    Evaluasi Kinerja pelaksanaan Anggaran Berbasis Fuzzy Inference System by Sukarna Sukarna, Irman Hermadi, Yani Nurhadryani

    Published 2021-03-01
    “…Mamdan’s model can describe skills for intuitive problems that have an output in the form of values in the domain of fuzzy sets categorized under the linguistic component. The results of this studied are monitoring and evaluation of the web-based work unit in the form of real performance status as a basis for preparing recommendations in  order to improve budget performance.  …”
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  3. 423

    Tradition and Development of Lithuanian Terminology by Antanas Smetona

    Published 2024-03-01
    “…However, during this short period of time, due to the efforts of terminologists—both linguists and specialists in the subject areas - the Lithuanian terminology has successfully played its proper role in the Lithuanian language of science and technology. …”
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  4. 424

    Translation and Validation of the Edinburgh Postnatal Depression Scale for Eritrea: A Screening Tool for Postpartum Depression in Primary Health Care Facilities by Gebregziabher NK, Netsereab TB, Alazar FA, Fessaha YG, Sium AH, Ghebrehiwet NK

    Published 2025-02-01
    “…Healthcare providers can now use this culturally and linguistically appropriate tool to screen for postpartum depression, leading to early detection and intervention. …”
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  5. 425

    Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

    Published 2023-10-01
    “…Forecasting values are calculated through defuzzification by converting linguistic variables into real numbers. This transformation process involves multiplying the weights obtained from the Fuzzy C-Means estimation with the mid-point values of each cluster.The optimization process is performed using the DE algorithm. …”
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  6. 426

    Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

    Published 2020-05-01
    “…Based on the results obtained to improve the results, the k-means process data were reprocessed with linguists, the results obtained were 139 positive SARA tweets and 62 SARA negative tweets, the results of which increased to 70.15% and 71.14%. …”
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  7. 427

    A Systemic Approach to Inceptive Constructions in Lithuanian by Rolandas Mikulskas

    Published 2023-12-01
    “…The members of these groups, with respect to infinitival complementation (resp. designation tendencies) share with each other one or another common feature. From a cognitive linguistics perspective all these head verbs can be seen as members of the same grammatical category (that of the inceptive markers) interconnected with each other in a network according to the principle of Ludwig Wittgenstein’s (1958) family resemblances. …”
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