يعرض 1 - 10 نتائج من 20 نتيجة بحث عن '"Sinova, Beatriz"', وقت الاستعلام: 1.15s تنقيح النتائج
  1. 1
    كتاب

    المؤلفون: Sinova, Beatriz

    المصدر: Building Bridges between Soft and Statistical Methodologies for Data Science ; Advances in Intelligent Systems and Computing ; page 350-357 ; ISSN 2194-5357 2194-5365 ; ISBN 9783031155086 9783031155093

  2. 2
    كتاب

    المؤلفون: Sinova, Beatriz

    المصدر: Trends in Mathematical, Information and Data Sciences ; Studies in Systems, Decision and Control ; page 447-456 ; ISSN 2198-4182 2198-4190 ; ISBN 9783031041365 9783031041372

  3. 3
    مؤتمر

    المصدر: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology ; Advances in Intelligent Systems Research ; ISSN 1951-6851

  4. 4
    مؤتمر

    المصدر: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology ; Advances in Intelligent Systems Research ; ISSN 1951-6851

  5. 5
    دورية أكاديمية

    المساهمون: Principality of Asturias, European Regional Development Fund, Spanish Ministry of Economy and Competitiveness

    المصدر: IEEE Transactions on Fuzzy Systems ; volume 29, issue 6, page 1682-1694 ; ISSN 1063-6706 1941-0034

  6. 6
    دورية أكاديمية
  7. 7
    كتاب

    المؤلفون: Sinova, Beatriz, Van Aelst, Stefan

    المصدر: Advances in Intelligent Systems and Computing ; Uncertainty Modelling in Data Science ; page 191-199 ; ISSN 2194-5357 2194-5365 ; ISBN 9783319975467 9783319975474

  8. 8
    كتاب

    المصدر: Advances in Intelligent Systems and Computing ; Uncertainty Modelling in Data Science ; page 9-16 ; ISSN 2194-5357 2194-5365 ; ISBN 9783319975467 9783319975474

  9. 9
    كتاب

    المؤلفون: Sinova, Beatriz

    المصدر: Studies in Systems, Decision and Control ; The Mathematics of the Uncertain ; page 733-743 ; ISSN 2198-4182 2198-4190 ; ISBN 9783319738475 9783319738482

  10. 10
    كتاب

    المصدر: Advances in Intelligent Systems and Computing ; Soft Methods for Data Science ; page 319-327 ; ISSN 2194-5357 2194-5365 ; ISBN 9783319429717 9783319429724