On state monadic MV-algebras

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2024-03-28 DOI:10.1016/j.fss.2024.108960
Pengfei He , Ya Wei , Juntao Wang
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Abstract

Monadic MV-algebras are an algebraic model of the predicate calculus of the Łukasiewicz infinite valued logic in which only a single individual variable occurs. In this paper, we extend monadic MV-algebras with a state operator that describes algebraic properties of states. The resulting variety of algebras will be called state monadic MV-algebras. First, we introduce state monadic MV-algebras and establish a natural equivalence between the category of state monadic MV-algebras and the category of state monadic -groups with strong units. Moreover, we prove that the class of all state monadic ideals in state monadic MV-algebras is a complete Heyting algebra. In particular, by studying extended state monadic ideals, we prove that the set of all stable state monadic ideals in state monadic MV-algebras is a complete Heyting algebra. Also, the class of all involutory state monadic ideals in state monadic MV-algebras is a complete Boolean algebra. Finally, we introduce and characterize some members in the variety of state monadic MV-algebras, which are subdirectly irreducible, simple, semisimple, local and semilocal, respectively.

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关于状态一元 MV 结构
Monadic MV-algebras 是 Łukasiewicz 无穷值逻辑谓词微积分的代数模型,其中只出现单个变量。在本文中,我们用描述状态代数属性的状态算子扩展了单元 MV-词组。由此产生的各种代数将被称为状态一元 MV-代数。首先,我们介绍了状态一元 MV-代数,并在状态一元 MV-代数范畴与具有强单位的状态一元 ℓ-群范畴之间建立了自然等价关系。此外,我们还证明了状态一元 MV-gebras 中所有状态一元理想的类是一个完整的海廷代数。特别是,通过研究扩展的状态一元理想,我们证明了状态一元 MV 目标中所有稳定状态一元理想的集合是一个完整的海廷代数。同时,状态一元 MV-gebras 中所有非法状态一元理想的类是一个完整的布尔代数。最后,我们介绍并描述了状态一元 MV-gebras 中的一些成员,它们分别是次直接不可还原的、简单的、半简单的、局部的和半局部的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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