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JOURNALS // Bulletin of Irkutsk State University. Series Mathematics // Archive

Bulletin of Irkutsk State University. Series Mathematics, 2023 Volume 46, Pages 130–144 (Mi iigum550)

This article is cited in 9 papers

Algebraic and logical methods in computer science and artificial intelligence

On the local coordination of fuzzy valuations

Gulnara E. Yakhyaeva

Novosibirsk State Technical University, Novosibirsk, Russian Federation

Abstract: The paper is devoted to the model-theoretic formalization of the semantic model of the object domain. The article discusses the concept of a fuzzy model, which is a model where the truth function exhibits properties of a fuzzy measure. We demonstrate that a fuzzy model is a generalization of the concept of fuzzification of a precedent (semantic) model to include a countable number of precedents.
In practice, it is common to have partial expert knowledge about the set of events in the object domain, making it difficult to immediately describe the fuzzy model. Additionally, since expert valuations are subjective, they may be incorrect and inconsistent with any fuzzy model. In the article, we introduce the concepts of coordinated and locally coordinated valuation of a set of sentences, and provide proofs for interval theorems and an analogue of the compactness theorem.

Keywords: fuzzy model, theory of fuzzy models, fuzzy measure, coordinated valuation, locally coordinated valuation.

UDC: 004.827

MSC: 68T27, 68T30

Received: 05.06.2023
Revised: 01.09.2023
Accepted: 04.09.2023

Language: English

DOI: 10.26516/1997-7670.2023.46.130



© Steklov Math. Inst. of RAS, 2026