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Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. / Yakhyaeva, Gulnara; Skokova, Vera.

Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings. ред. / Sergei M. Kovalev; Sergei O. Kuznetsov; Aleksandr I. Panov. Springer Science and Business Media Deutschland GmbH, 2021. стр. 152-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12948 LNAI).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Yakhyaeva, G & Skokova, V 2021, Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. в SM Kovalev, SO Kuznetsov & AI Panov (ред.), Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12948 LNAI, Springer Science and Business Media Deutschland GmbH, стр. 152-165, 19th Russian Conference on Artificial Intelligence, RCAI 2021, Taganrog, Российская Федерация, 11.10.2021. https://doi.org/10.1007/978-3-030-86855-0_11

APA

Yakhyaeva, G., & Skokova, V. (2021). Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. в S. M. Kovalev, S. O. Kuznetsov, & A. I. Panov (Ред.), Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings (стр. 152-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12948 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86855-0_11

Vancouver

Yakhyaeva G, Skokova V. Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. в Kovalev SM, Kuznetsov SO, Panov AI, Редакторы, Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. стр. 152-165. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86855-0_11

Author

Yakhyaeva, Gulnara ; Skokova, Vera. / Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge. Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings. Редактор / Sergei M. Kovalev ; Sergei O. Kuznetsov ; Aleksandr I. Panov. Springer Science and Business Media Deutschland GmbH, 2021. стр. 152-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{d9b92d6ed9824b58863ec3bacf20be4b,
title = "Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge",
abstract = "Often, evaluative knowledge about the object area is formulated not only as an objective (statistical) probability but also as a subjective (expert) probability. Expert evaluations may be incomplete or inconsistent with each other. A tool is needed to check the consistency of expertise. The paper proposes a theoretical-modal formalization of subjective and objective interpretations of probability. This allows us to formulate the criteria for the correctness of the evaluative knowledge received from the experts. The article describes an algorithm for checking the correctness of evaluative knowledge, as well as an algorithm for correcting some incorrectness.",
keywords = "Evaluative knowledge, Fuzzification, Fuzzy model, Objective probability, Precedent model, Subjective probability",
author = "Gulnara Yakhyaeva and Vera Skokova",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 19th Russian Conference on Artificial Intelligence, RCAI 2021 ; Conference date: 11-10-2021 Through 16-10-2021",
year = "2021",
doi = "10.1007/978-3-030-86855-0_11",
language = "English",
isbn = "9783030868543",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "152--165",
editor = "Kovalev, {Sergei M.} and Kuznetsov, {Sergei O.} and Panov, {Aleksandr I.}",
booktitle = "Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings",
address = "Germany",

}

RIS

TY - GEN

T1 - Subjective Expert Evaluations in the Model-Theoretic Representation of Object Domain Knowledge

AU - Yakhyaeva, Gulnara

AU - Skokova, Vera

N1 - Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - Often, evaluative knowledge about the object area is formulated not only as an objective (statistical) probability but also as a subjective (expert) probability. Expert evaluations may be incomplete or inconsistent with each other. A tool is needed to check the consistency of expertise. The paper proposes a theoretical-modal formalization of subjective and objective interpretations of probability. This allows us to formulate the criteria for the correctness of the evaluative knowledge received from the experts. The article describes an algorithm for checking the correctness of evaluative knowledge, as well as an algorithm for correcting some incorrectness.

AB - Often, evaluative knowledge about the object area is formulated not only as an objective (statistical) probability but also as a subjective (expert) probability. Expert evaluations may be incomplete or inconsistent with each other. A tool is needed to check the consistency of expertise. The paper proposes a theoretical-modal formalization of subjective and objective interpretations of probability. This allows us to formulate the criteria for the correctness of the evaluative knowledge received from the experts. The article describes an algorithm for checking the correctness of evaluative knowledge, as well as an algorithm for correcting some incorrectness.

KW - Evaluative knowledge

KW - Fuzzification

KW - Fuzzy model

KW - Objective probability

KW - Precedent model

KW - Subjective probability

UR - http://www.scopus.com/inward/record.url?scp=85117075418&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-86855-0_11

DO - 10.1007/978-3-030-86855-0_11

M3 - Conference contribution

AN - SCOPUS:85117075418

SN - 9783030868543

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 152

EP - 165

BT - Artificial Intelligence - 19th Russian Conference, RCAI 2021, Proceedings

A2 - Kovalev, Sergei M.

A2 - Kuznetsov, Sergei O.

A2 - Panov, Aleksandr I.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 19th Russian Conference on Artificial Intelligence, RCAI 2021

Y2 - 11 October 2021 through 16 October 2021

ER -

ID: 34603879