Application of the Fuzzy Model Theory for Modeling QA-Systems

Standard

Application of the Fuzzy Model Theory for Modeling QA-Systems. / Yakhyaeva, Gulnara; Karmanova, Anastosia; Ershov, Aleksei.

In: Computing and Informatics, Vol. 40, No. 6, 2021, p. 1197-1216.

Research output: Contribution to journal › Article › peer-review

Harvard

Yakhyaeva, G, Karmanova, A & Ershov, A 2021, 'Application of the Fuzzy Model Theory for Modeling QA-Systems', Computing and Informatics, vol. 40, no. 6, pp. 1197-1216. https://doi.org/10.31577/CAI_2021_6_1197

APA

Yakhyaeva, G., Karmanova, A., & Ershov, A. (2021). Application of the Fuzzy Model Theory for Modeling QA-Systems. Computing and Informatics, 40(6), 1197-1216. https://doi.org/10.31577/CAI_2021_6_1197

Vancouver

Yakhyaeva G, Karmanova A, Ershov A. Application of the Fuzzy Model Theory for Modeling QA-Systems. Computing and Informatics. 2021;40(6):1197-1216. doi: 10.31577/CAI_2021_6_1197

Author

Yakhyaeva, Gulnara ; Karmanova, Anastosia ; Ershov, Aleksei. / Application of the Fuzzy Model Theory for Modeling QA-Systems. In: Computing and Informatics. 2021 ; Vol. 40, No. 6. pp. 1197-1216.

BibTeX

@article{0fa6a8dc76f84b67a29894c47aede0ee,

title = "Application of the Fuzzy Model Theory for Modeling QA-Systems",

abstract = "The work is devoted to the description of the question-answer system QA-RiskPanel, which provides means of determining and forecasting the risks related to computer attacks. The QA-RiskPanel system uses a constantly updated database of previous computer attacks as a source of knowledge. We thus guarantee the most up-to-date risk prediction. The ontological approach to the formalization of the object domain allows the analysis of risks at various levels of specification/generalization. In this paper we provide a model-theoretic formalization of the Knowledge Base of the described object domain. Then we describe the classification of question types, which are probabilistic in this system. Finally we present algorithms for finding the answers to all question types of our classification.",

keywords = "case of the computer attack, computer attacks, generalized fuzzy model, information security, knowledge base, Question-answering system, theory of the fuzzy models",

author = "Gulnara Yakhyaeva and Anastosia Karmanova and Aleksei Ershov",

year = "2021",

doi = "10.31577/CAI_2021_6_1197",

language = "English",

volume = "40",

pages = "1197--1216",

journal = "Computing and Informatics",

issn = "1335-9150",

publisher = "Slovak Academic Press Ltd",

number = "6",

}

RIS

TY - JOUR

T1 - Application of the Fuzzy Model Theory for Modeling QA-Systems

AU - Yakhyaeva, Gulnara

AU - Karmanova, Anastosia

AU - Ershov, Aleksei

PY - 2021

Y1 - 2021

N2 - The work is devoted to the description of the question-answer system QA-RiskPanel, which provides means of determining and forecasting the risks related to computer attacks. The QA-RiskPanel system uses a constantly updated database of previous computer attacks as a source of knowledge. We thus guarantee the most up-to-date risk prediction. The ontological approach to the formalization of the object domain allows the analysis of risks at various levels of specification/generalization. In this paper we provide a model-theoretic formalization of the Knowledge Base of the described object domain. Then we describe the classification of question types, which are probabilistic in this system. Finally we present algorithms for finding the answers to all question types of our classification.

AB - The work is devoted to the description of the question-answer system QA-RiskPanel, which provides means of determining and forecasting the risks related to computer attacks. The QA-RiskPanel system uses a constantly updated database of previous computer attacks as a source of knowledge. We thus guarantee the most up-to-date risk prediction. The ontological approach to the formalization of the object domain allows the analysis of risks at various levels of specification/generalization. In this paper we provide a model-theoretic formalization of the Knowledge Base of the described object domain. Then we describe the classification of question types, which are probabilistic in this system. Finally we present algorithms for finding the answers to all question types of our classification.

KW - case of the computer attack

KW - computer attacks

KW - generalized fuzzy model

KW - information security

KW - knowledge base

KW - Question-answering system

KW - theory of the fuzzy models

UR - http://www.scopus.com/inward/record.url?scp=85127141770&partnerID=8YFLogxK

U2 - 10.31577/CAI_2021_6_1197

DO - 10.31577/CAI_2021_6_1197

M3 - Article

AN - SCOPUS:85127141770

VL - 40

SP - 1197

EP - 1216

JO - Computing and Informatics

JF - Computing and Informatics

SN - 1335-9150

IS - 6

ER -

ID: 35825412