Synthesis of Algorithms for Recognition of Vulnerabilities in Web Resources Using Signatures of Fuzzy Linguistic Features
Cybernetics and Systems Analysis, ISSN: 1573-8337, Vol: 53, Issue: 3, Page: 403-409
2017
- 4Citations
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
The paper formalizes the problem of fuzzy recognition of vulnerabilities in web resources that is set by a complex reference description in the form of signatures of intervals of the values of fuzzy linguistic features. The reference description and the mathematics of the theory of validation of complex statistical hypotheses were applied to synthesize multi-criteria object recognition algorithms using the minimax decision rule and the Bayesian maximum of a posteriori probability and maximum likelihood criteria.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85019653856&origin=inward; http://dx.doi.org/10.1007/s10559-017-9940-8; http://link.springer.com/10.1007/s10559-017-9940-8; http://link.springer.com/content/pdf/10.1007/s10559-017-9940-8.pdf; http://link.springer.com/article/10.1007/s10559-017-9940-8/fulltext.html; https://dx.doi.org/10.1007/s10559-017-9940-8; https://link.springer.com/article/10.1007/s10559-017-9940-8
Springer Science and Business Media LLC
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