The paper describes a new learning algorithm of adaptive neuro-fuzzy inference systems
that is based on the method of areas' ratio (MAR-ANFIS). Using linear and nonlinear …

As a weaker form of the classical commuting equation, α-cross-migrativity properties
between conjunctive connectives including t-norms, uninorms, and overlap functions have …

Uninorms are an important class of fuzzy logic connectives that have, so far, neither
generating methods nor algebraic structures. In this work, we attempt to propose some novel …

Аннотация Цель исследования: исследование гипотезы о возможности изменения
вида переходного процесса во время обучения нейро-нечёткой системы вывода …

Рассмотрен новый метод обучения системы нейро-нечеткого вывода.
Структурирована обобщенная модель нечеткого вывода с использованием в нем …

The well-known iterative boolean-like law a→(a→ b)= a→ b can be generalized to the
functional equation I (x, I (x, y))= I (x, y), where I is a fuzzy implication. In this paper, we …

A new concept of neutrosophic overlap function is given, furthermore a neutrosophic
residual implication derived from it is also introduced. Firstly, we give new concept of …

Purpose of research is to study the hypothesis about the possibility of changing the type of
transition process during training in a neuro-fuzzy inference system based on area ratio …

In this work, we solve an open problem related to the preservation of the exchange principle
(EP) of fuzzy implications under lattice operations ([3], Problem 3.1.). We show that …

In this article, a functional equation (IE) involving fuzzy implications has been considered.
Two different perspectives of this equation have been provided to realize its significance. As …