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Volume 487, Issue CJul 2024
Reflects downloads up to 16 Oct 2024Bibliometrics
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research-article
A relation algebraic approach to universal integrals
Abstract

In a series of papers Klement et al. investigated discrete integrals such as the Choquet and Sugeno integral and their axiomatization. As part of their study they showed that universal integrals are based on semicopulas, and they provided lower ...

research-article
The weak dominance between t-norms and t-conorms revisited
Abstract

The weak dominance relation between two binary operations was introduced as an extension of the dominance relation and the modularity equation. This paper continues the study of the weak dominance between t-norms and t-conorms. First, we present ...

research-article
On Stonean triangle algebras
Abstract

We introduce the notion of Stonean triangle algebra and consider it in details and give the relationships between Stonean triangle algebra and some of algebraic structures such as Gödel-triangle algebras. The notion of L-IVRL(Interval Valued ...

research-article
Projection depth and L r -type depths for fuzzy random variables
Abstract

Statistical depth functions are a standard tool in nonparametric statistics to extend order-based univariate methods to the multivariate setting. Since there is no universally accepted total order for fuzzy data (even in the univariate case) and ...

research-article
On fuzzy order in fuzzy sets based on t-norm fuzzy arithmetic
Abstract

In this paper we study some fuzzy order in fuzzy sets based on t-norm fuzzy arithmetic. The definition of the order comes from the extension principle for interval order: a > b iff a − b > 0 and from measurement sciences. In measurement sciences ...

research-article
On the representation of internal uninorms on a bounded lattice
Abstract

Internal uninorms on a bounded lattice always output one of the two input values and are nothing else but idempotent uninorms when the lattice is a chain. In this paper, we study the existence and representation of internal uninorms with a given ...

research-article
Fuzzy three-way rule learning and its classification methods
Abstract

Rules play a crucial role in classification tasks, driving the advancement of artificial intelligence. However, how to improve the interpretability of extracted rules while ensuring the performance of classification tasks is always a challenge, ...

research-article
A Radon-Nikodym theorem for monotone measures
Abstract

A version of Radon-Nikodym theorem for the Choquet integral w.r.t. monotone measures is proved. Without any presumptive condition, we obtain a necessary and sufficient condition for the ordered pair ( μ , ν ) of finite monotone measures to have ...

research-article
Dissipative control for quaternion-valued fuzzy memristive neural networks: Nonlinear scalarization approach
Abstract

This paper deals with the dissipative control for a class of quaternion-valued fuzzy memristive neural networks. By constructing proper Lyapunov functionals and using adaptive controller, the strictly ( Q , S , R )-dissipative are characterized ...

research-article
The general algebraic solution of dual fuzzy linear systems and fuzzy Stein matrix equations
Abstract

In this paper, we present a new method for solving a dual fuzzy linear system (DFLS), A X ˜ + C ˜ = B X ˜ + D ˜, where the coefficient matrices A and B are arbitrary real m × n matrices and C ˜ and D ˜ are given fuzzy number vectors. A necessary ...

research-article
Fuzzification using the extension principle and the expression in decomposition theorem
Abstract

Fuzzifying the crisp functions is a well-known methodology to study the problems under fuzzy uncertainty. The traditional way for fuzzifying the crisp functions is based on the extension principle. In this paper, by referring to the expression in ...

research-article
EFNN-Nul0- a trustworthy knowledge extraction about stress identification through evolving fuzzy neural networks
Abstract

This paper presents a novel hybrid architecture, denoted as EFNN-Nul0 (evolving neuro-fuzzy system based on null-unineurons), meticulously crafted for stress identification within the realm of pattern classification. The model seamlessly ...

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