Standard

Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge. / Yakhyaeva, G. E.; Palchunova, O. D.

In: Pattern Recognition and Image Analysis, Vol. 33, No. 3, 09.2023, p. 529-535.

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

Harvard

Yakhyaeva, GE & Palchunova, OD 2023, 'Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge', Pattern Recognition and Image Analysis, vol. 33, no. 3, pp. 529-535. https://doi.org/10.1134/S105466182303046X

APA

Yakhyaeva, G. E., & Palchunova, O. D. (2023). Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge. Pattern Recognition and Image Analysis, 33(3), 529-535. https://doi.org/10.1134/S105466182303046X

Vancouver

Yakhyaeva GE, Palchunova OD. Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge. Pattern Recognition and Image Analysis. 2023 Sept;33(3):529-535. doi: 10.1134/S105466182303046X

Author

Yakhyaeva, G. E. ; Palchunova, O. D. / Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge. In: Pattern Recognition and Image Analysis. 2023 ; Vol. 33, No. 3. pp. 529-535.

BibTeX

@article{3b769946354f46c7b4a5b8b4df992bd7,
title = "Fuzzy Models As a Formalization of Expert{\textquoteright}s Evaluative Knowledge",
abstract = "Evaluative knowledge of an object domain can be represented not only as an objective (statistical) probability, but also as a subjective (expert) probability. Expert evaluations may be incomplete and uncoordinated with each other. An instrument is needed to check the coordination of expert knowledge. The paper presents a formalization of the subjective interpretation of probability in the language of the theory of fuzzy models. This allows us to formulate coordination criteria for evaluative knowledge obtained from experts. Various properties of coordinated evaluative knowledge are described, the concept of a minimal fuzzy model coordinated with a given evaluative knowledge is considered, and the uniqueness criteria for such a model are investigated.",
keywords = "coordination of knowledge, evaluative knowledge, fuzzy model, subjective probability",
author = "Yakhyaeva, {G. E.} and Palchunova, {O. D.}",
note = "Публикация для корректировки.",
year = "2023",
month = sep,
doi = "10.1134/S105466182303046X",
language = "English",
volume = "33",
pages = "529--535",
journal = "Pattern Recognition and Image Analysis",
issn = "1054-6618",
publisher = "Maik Nauka Publishing / Springer SBM",
number = "3",

}

RIS

TY - JOUR

T1 - Fuzzy Models As a Formalization of Expert’s Evaluative Knowledge

AU - Yakhyaeva, G. E.

AU - Palchunova, O. D.

N1 - Публикация для корректировки.

PY - 2023/9

Y1 - 2023/9

N2 - Evaluative knowledge of an object domain can be represented not only as an objective (statistical) probability, but also as a subjective (expert) probability. Expert evaluations may be incomplete and uncoordinated with each other. An instrument is needed to check the coordination of expert knowledge. The paper presents a formalization of the subjective interpretation of probability in the language of the theory of fuzzy models. This allows us to formulate coordination criteria for evaluative knowledge obtained from experts. Various properties of coordinated evaluative knowledge are described, the concept of a minimal fuzzy model coordinated with a given evaluative knowledge is considered, and the uniqueness criteria for such a model are investigated.

AB - Evaluative knowledge of an object domain can be represented not only as an objective (statistical) probability, but also as a subjective (expert) probability. Expert evaluations may be incomplete and uncoordinated with each other. An instrument is needed to check the coordination of expert knowledge. The paper presents a formalization of the subjective interpretation of probability in the language of the theory of fuzzy models. This allows us to formulate coordination criteria for evaluative knowledge obtained from experts. Various properties of coordinated evaluative knowledge are described, the concept of a minimal fuzzy model coordinated with a given evaluative knowledge is considered, and the uniqueness criteria for such a model are investigated.

KW - coordination of knowledge

KW - evaluative knowledge

KW - fuzzy model

KW - subjective probability

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85172864003&origin=inward&txGid=b2681a11878a54c306096557d89cb2a8

UR - https://www.mendeley.com/catalogue/b430e762-b83f-3faf-a169-1d41b7149a92/

U2 - 10.1134/S105466182303046X

DO - 10.1134/S105466182303046X

M3 - Article

VL - 33

SP - 529

EP - 535

JO - Pattern Recognition and Image Analysis

JF - Pattern Recognition and Image Analysis

SN - 1054-6618

IS - 3

ER -

ID: 59553710