Autors: Ivanova, T. I.
Title: A metic and approach for fuzzy ontology evaluation.
Keywords: ontology

References

    Issue

    , 2008, Greece,

    Цитирания (Citation/s):
    1. Oyelade, O. N., Ezugwu, A. E., & Adewuyi, S. A. (2021). Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. Neural Computing and Applications, 1-26. - 2021 - в издания, индексирани в Scopus или Web of Science
    2. Oyelade, ON; Ezugwu, AE and Adewuyi, SA, Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies, NEURAL COMPUTING & APPLICATIONS 34 (4) , pp.3053-3078, Feb 2022 - 2022 - в издания, индексирани в Scopus или Web of Science
    3. Qasim, I; Alam, M; (...); Bukhari, SAC., A comprehensive review of type-2 fuzzy Ontology Feb 2020 , ARTIFICIAL INTELLIGENCE REVIEW 53 (2) , pp.1187-1206 - 2020 - в издания, индексирани в Scopus или Web of Science
    4. Zhang, F; Cheng, JW and Ma, ZM, A survey on fuzzy ontologies for the Semantic Web Jun 2016 , KNOWLEDGE ENGINEERING REVIEW 31 (3) , pp.278-321 - 2016 - в издания, индексирани в Scopus или Web of Science
    5. Samani, Z. R., & Shamsfard, M. (2018). The state of the art in developing fuzzy ontologies: A survey. arXiv preprint arXiv:1805.02290. - 2018 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    6. Йоцов, В. (2014). Изкуствен интелект и експертни системи. - 2014 - в български издания
    7. Wang, K., Liu, J. N., & Ma, W. M. (2010, December). Towards the detection of potential contradictions in fuzzy ontology using a high level net approach integrated with uncertainty inference. In 2010 IEEE International Conference on Data Mining Workshops (pp. 883-890). IEEE. - 2010 - в издания, индексирани в Scopus или Web of Science

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