Results 31 to 40 of about 120 (104)

Generalization of intuitionistic fuzzy $n$-normed spaces via $\psi$-extensions

open access: yesRatio Mathematica
The aim of this paper is to study the generalization of intuitionistic fuzzy normed spaces to intuitionistic fuzzy $n$-normed spaces. In this framework, we discuss intuitionistic fuzzy $n$-continuity and intuitionistic fuzzy $n$-boundedness. Furthermore,
Sadashiv G. Dapke
doaj   +1 more source

Lacunary Δ-statistical convergence in intuitionistic fuzzy n-normed space [PDF]

open access: yesJournal of Inequalities and Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sakarya Üniversitesi/Fen-Edebiyat Fakültesi/Matematik Bölümü   +2 more
openaire   +2 more sources

Intuitionistic fuzzy I-convergent Fibonacci difference sequence spaces

open access: yesJournal of Inequalities and Applications, 2019
Fibonacci difference matrix was defined by Kara in his paper (Kara in J. Inequal. Appl. 2013:38 2013). Recently, Khan et al. (Adv. Differ. Equ. 2018:199, 2018) using the Fibonacci difference matrix F̂ and ideal convergence defined the notion of c0I(Fˆ ...
Vakeel A. Khan   +4 more
doaj   +1 more source

Intuitionistic Fuzzy Stability of Functional Equations Associated with Inner Product Spaces

open access: yesAbstract and Applied Analysis, 2011
In intuitionistic fuzzy normed spaces, we investigate some stability results for the functional equation ∑𝑛𝑖=1𝑓(𝑥𝑖∑−(1/𝑛)𝑛𝑗=1𝑥𝑗∑)=𝑛𝑖=1𝑓(𝑥𝑖∑)−𝑛𝑓((1/𝑛)𝑛𝑖=1𝑥𝑖) which is said to be a functional equation associated with inner products space.
Zhihua Wang, Themistocles M. Rassias
doaj   +1 more source

I-Lacunary Statistical Convergence in Intuitionistic Fuzzy Normed Spaces

open access: yesAfyon Kocatepe University Journal of Sciences and Engineering, 2020
In this study, first, we investigate the notions of ℐ-lacunary statistical convergence and strongly ℐlacunary convergence with regards to the intuitionistic fuzzy norm (IFN for short) (μ,ν). Then, we investigate relationships among this new concepts and make important observations about them.
Kişi, Ömer, Kişi, Ömer
openaire   +5 more sources

Rough statistical convergence in intuitionistic fuzzy normed spaces

open access: yesFilomat, 2021
In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization in the field of statistical convergence. We have proved some properties related to rough convergence which provides some new functional tools in the situation of uncertainty like intuitionistic fuzzy normed ...
Reena Antal   +2 more
openaire   +2 more sources

A generalized statistical convergence in intuitionistic fuzzy normed spaces [PDF]

open access: yesScienceAsia, 2015
In this paper, we introduce the notion of I-[V, lambda]-summability and I-lambda-statistical convergence with respect to the intuitionistic fuzzy norm (mu, v), investigate their relationship, and make some observations about these classes. We mainly examine the relation between these two new methods and the relation between I-lambda-statistical ...
Savas, Ekrem, GÜRDAL, Mehmet
openaire   +4 more sources

Model pluralism for logic

open access: yesNoûs, Volume 60, Issue 1, Page 136-160, March 2026.
Abstract It is well‐recognized in the sciences that a multitude of nonequivalent models are used by researchers to fulfill a range of goals, even for the same target system, a result known broadly as model pluralism. The possibility of the same form of pluralism occurring in logic, however, has not been adequately considered.
Ben Martin
wiley   +1 more source

AIRP‐UNet: A Multimodal Brain Tumour Segmentation Method Based on Attention‐Guided Inverted Residual Pyramid Network

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
Glioma segmentation from multimodal MRI is challenging due to tumour heterogeneity and imaging noise. To address this, we propose AIRP‐UNet, an asymmetric hybrid network that integrates an attention‐guided inverted residual decoder and a pyramid pooling module to selectively focus on tumour regions and capture multi‐scale context.
Chunhui Shu   +3 more
wiley   +1 more source

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