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Application of boolean valued and fuzzy model theory for knowledge base development. / Yakhyaeva, Gulnara.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 868-871 8958245 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Yakhyaeva, G 2019, Application of boolean valued and fuzzy model theory for knowledge base development. in SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958245, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 868-871, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Russian Federation, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958245

APA

Yakhyaeva, G. (2019). Application of boolean valued and fuzzy model theory for knowledge base development. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (pp. 868-871). [8958245] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958245

Vancouver

Yakhyaeva G. Application of boolean valued and fuzzy model theory for knowledge base development. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 868-871. 8958245. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958245

Author

Yakhyaeva, Gulnara. / Application of boolean valued and fuzzy model theory for knowledge base development. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 868-871 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

BibTeX

@inproceedings{e3d73b92485f4186b0bb24030db1c7be,
title = "Application of boolean valued and fuzzy model theory for knowledge base development",
abstract = "In paper we propose a semantic model for representing knowledge. This approach is based on the theory of fuzzy models, which is a conservative extension of the classical model theory. In the framework of the proposed approach, first the knowledge extracted from texts of natural language is presented in the form of algebraic systems (precedents of a object domain). Then all precedents are integrated to one Knowledge Base. The knowledge base of the object domain is formalized in the form of two algebraic systems: A Boolean-valued Model and a Fuzzy Model. The Boolean-valued model formalizes semantic (qualitative) knowledge about the object domain. The fuzzy model is intended to formalize statistical (quantitative) knowledge. The proposed methodology is illustrated by the example of the object domain of computer security.",
keywords = "Fuzzification, Fuzzy Model, Knowledge Base, Knowledge Representation Boolean-valued Model, Precedent, Precedent Model",
author = "Gulnara Yakhyaeva",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SIBIRCON48586.2019.8958245",
language = "English",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "868--871",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",

}

RIS

TY - GEN

T1 - Application of boolean valued and fuzzy model theory for knowledge base development

AU - Yakhyaeva, Gulnara

N1 - Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/10

Y1 - 2019/10

N2 - In paper we propose a semantic model for representing knowledge. This approach is based on the theory of fuzzy models, which is a conservative extension of the classical model theory. In the framework of the proposed approach, first the knowledge extracted from texts of natural language is presented in the form of algebraic systems (precedents of a object domain). Then all precedents are integrated to one Knowledge Base. The knowledge base of the object domain is formalized in the form of two algebraic systems: A Boolean-valued Model and a Fuzzy Model. The Boolean-valued model formalizes semantic (qualitative) knowledge about the object domain. The fuzzy model is intended to formalize statistical (quantitative) knowledge. The proposed methodology is illustrated by the example of the object domain of computer security.

AB - In paper we propose a semantic model for representing knowledge. This approach is based on the theory of fuzzy models, which is a conservative extension of the classical model theory. In the framework of the proposed approach, first the knowledge extracted from texts of natural language is presented in the form of algebraic systems (precedents of a object domain). Then all precedents are integrated to one Knowledge Base. The knowledge base of the object domain is formalized in the form of two algebraic systems: A Boolean-valued Model and a Fuzzy Model. The Boolean-valued model formalizes semantic (qualitative) knowledge about the object domain. The fuzzy model is intended to formalize statistical (quantitative) knowledge. The proposed methodology is illustrated by the example of the object domain of computer security.

KW - Fuzzification

KW - Fuzzy Model

KW - Knowledge Base

KW - Knowledge Representation Boolean-valued Model

KW - Precedent

KW - Precedent Model

UR - http://www.scopus.com/inward/record.url?scp=85079046609&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=43253212

U2 - 10.1109/SIBIRCON48586.2019.8958245

DO - 10.1109/SIBIRCON48586.2019.8958245

M3 - Conference contribution

AN - SCOPUS:85079046609

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 868

EP - 871

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

ID: 27548131