Tootfinder

Linear Equations in the Ring of $\mathcal{S}\left(\mathcal{A}\right)$-Linearly Correlated Fuzzy Numbers
Beatriz Laiate, Peter Sussner
https://arxiv.org/abs/2508.14900 https://…

Linear Equations in the Ring of $\mathcal{S}\left(\mathcal{A}\right)$-Linearly Correlated Fuzzy Numbers
This paper investigates the solutions of a family of certain linear fuzzy arithmetic equations that involve fuzzy numbers belonging to certain finite-dimensional vector spaces of $\mathbb{R}_{\mathcal{F}}$, called $\mathcal{S}\left(\mathcal{A}\right)$-linearly correlated fuzzy numbers. Here, $\A$ stands for a strongly linearly independent (SLI) set of fuzzy numbers. The arithmetic operations in the aforementioned linear equations are the sum in the vector space $\Sc(\A)$ and the so-called $ψ$-…

A Fuzzy-Enhanced Explainable AI Framework for Flight Continuous Descent Operations Classification
Amin Noroozi, Sandaruwan K. Sethunge, Elham Norouzi, Phat T. Phan, Kavinda U. Waduge, Md. Arafatur Rahman
https://arxiv.org/abs/2508.14618

A Fuzzy-Enhanced Explainable AI Framework for Flight Continuous Descent Operations Classification
Continuous Descent Operations (CDO) involve smooth, idle-thrust descents that avoid level-offs, reducing fuel burn, emissions, and noise while improving efficiency and passenger comfort. Despite its operational and environmental benefits, limited research has systematically examined the factors influencing CDO performance. Moreover, many existing methods in related areas, such as trajectory optimization, lack the transparency required in aviation, where explainability is critical for safety and…

Complexity of Abduction in \L{}ukasiewicz Logic
Katsumi Inoue, Daniil Kozhemiachenko
https://arxiv.org/abs/2507.13847 https://arxiv.o…

Complexity of Abduction in Łukasiewicz Logic
We explore the problem of explaining observations in contexts involving statements with truth degrees such as `the lift is loaded', `the symptoms are severe', etc. To formalise these contexts, we consider infinitely-valued Łukasiewicz fuzzy logic. We define and motivate the notions of abduction problems and explanations in the language of Łukasiewicz logic expanded with `interval literals' of the form $p\geq\mathbf{c}$, $p\leq\mathbf{c}$, and their negations that express the set of values a v…

Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework
Lida Shahbandari, Hossein Mohseni
https://arxiv.org/abs/2508.12487 https://

Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework
This study introduces a Fractional Order Fuzzy PID (FOFPID) controller that uses the Whale Optimization Algorithm (WOA) to manage the Bispectral Index (BIS), keeping it within the ideal range of forty to sixty. The FOFPID controller combines fuzzy logic for adapting to changes and fractional order dynamics for fine tuning. This allows it to adjust its control gains to handle a person's unique physiology. The WOA helps fine tune the controller's parameters, including the fractional orders and th…

Constraining fuzzy dark matter with the 21-cm power spectrum from Cosmic Dawn and Reionization
Shihang Liu, Yilin Liu, Bowen Peng, Mengzhou Xie, Zelong Liu, Bohua Li, Yi Mao
https://arxiv.org/abs/2508.10176

Constraining fuzzy dark matter with the 21-cm power spectrum from Cosmic Dawn and Reionization
The 21-cm signals from Cosmic Dawn and the Epoch of Reionization contain valuable information on cosmological structure formation dominated by dark matter. Measurements of the 21-cm power spectrum can thus probe certain dark matter candidates. Here we investigate the impacts of fuzzy dark matter (FDM) on the 21-cm signals, taking into account both the linear matter power spectrum and the halo mass function (HMF) in FDM cosmologies. The full FDM dynamics are implemented in reionization simulatio…

DVFS: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data
Jie Zhang, Xiaohong Li, Man Zheng, Zhe Hou, Guangdong Bai, Ruitao Feng
https://arxiv.org/abs/2507.10927

DVFS: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data
Cloud storage introduces critical privacy challenges for encrypted data retrieval, where fuzzy multi-keyword search enables approximate matching while preserving data confidentiality. Existing solutions face fundamental trade-offs between security and efficiency: linear-search mechanisms provide adaptive security but incur prohibitive overhead for large-scale data, while tree-based indexes improve performance at the cost of branch leakage vulnerabilities. To address these limitations, we prop…

🇺🇦 Auf radioeins läuft...
Grant Lee Buffalo:
🎵 Fuzzy
#NowPlaying #GrantLeeBuffalo
https://grantleebuffalo.bandcamp.com/track/fuzzy-2
https://open.spotify.com/track/3Z9bMAaCLvkcvkUealsvXB

Examining the effects of music on cognitive skills of children in early childhood with the Pythagorean fuzzy set approach
Murat Kirisci, Nihat Topac, Musa Bardak
https://arxiv.org/abs/2506.12016

Examining the effects of music on cognitive skills of children in early childhood with the Pythagorean fuzzy set approach
There are many genetic and environmental factors that affect cognitive development. Music education can also be considered as one of the environmental factors. Some researchers emphasize that Music is an action that requires meta-cognitive functions such as mathematics and chess and supports spatial intelligence. The effect of Music on cognitive development in early childhood was examined using the Pythagorean Fuzzy Sets(PFS) method defined by Yager. This study created PFS based on experts' opi…

This https://arxiv.org/abs/2506.05675 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models
Event Causality Identification (ECI) aims to detect causal relationships between events in textual contexts. Existing ECI models predominantly rely on supervised methodologies, suffering from dependence on large-scale annotated data. Although Large Language Models (LLMs) enable zero-shot ECI, they are prone to causal hallucination-erroneously establishing spurious causal links. To address these challenges, we propose MEFA, a novel zero-shot framework based on Multi-source Evidence Fuzzy Aggrega…

An Energy Perspective of Core Erosion in Gas Giant Planets
J. R. Fuentes, Christopher R. Mankovich, Ankan Sur
https://arxiv.org/abs/2507.05109 https://

An Energy Perspective of Core Erosion in Gas Giant Planets
Juno and Cassini have shown that Jupiter and Saturn likely contain extended gradients of heavy elements. Yet, how these gradients can survive over billions of years remains an open question. Classical convection theories predict rapid mixing and homogenization, which would erase such gradients on timescales far shorter than the planets' ages. To address this, we estimate the energy required to erode both dense and fuzzy cores, and compare it to what the planet can realistically supply. If the e…

Wenn ich die CDU Hessen richtig verstanden habe, möchte sie den Mangel an Therapieplätzen für psychisch Erkrankte dadurch beheben, daß Menschen sich keine Hilfe mehr suchen, sondern einfach still leiden (oder irgendwann sich selbst oder anderen Gewalt antun, weil sie nicht mehr anders können), damit sie nicht auf den berüchtigten Listen der Polizei landen.¹
Das ist nicht nur unmenschlich, sondern auch dumm und gefährlich.
Aus ähnlichen Gründen² vermeiden Lehramts­studierende scho…

A Fuzzy Set-based Approach for Matching Hand-Drawing Shapes of Touch-based Gestures for Graphical Passwords
Adel Sabour, Ahmed Gadallah, Hesham Hefny
https://arxiv.org/abs/2507.22382

A Fuzzy Set-based Approach for Matching Hand-Drawing Shapes of Touch-based Gestures for Graphical Passwords
This paper presents a two-dimension fuzzy set based approach for matching touch-based gestures using fuzzy cued click point technique. The pro posed approach aims mainly to improve the acceptance of the most closed inac curate hand drawn gestures generated by the user compared with a predefined referenced gesture value that is stored in the user profile. Commonly, gestures are used in order to facilitate the interactive capabilities between humans and computerized systems. Unfortunately, most o…

Conventional and Fuzzy Data Envelopment Analysis with deaR
Vicente J. Bolos, Rafael Benitez, Vicente Coll-Serrano
https://arxiv.org/abs/2506.03766 https://…

Conventional and Fuzzy Data Envelopment Analysis with deaR
deaR is a recently developed R package for data envelopment analysis (DEA) that implements a large number of conventional and fuzzy models, along with super-efficiency models, cross-efficiency analysis, Malmquist index, bootstrapping, and metafrontier analysis. It should be noted that deaR is the only package to date that incorporates Kao-Liu, Guo-Tanaka and possibilistic fuzzy models. The versatility of the package allows the user to work with different returns to scale and orientations, as we…

This https://arxiv.org/abs/2505.07655 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Flowing from the Ising Model on the Fuzzy Sphere to the 3D Lee-Yang CFT
We employ the Fuzzy Sphere regulator to study the 3D Lee-Yang CFT. The model is defined by deforming the Ising model on the Fuzzy Sphere via a purely imaginary longitudinal magnetic field. This model undergoes a quantum phase transition, whose critical point we determine and identify with the 3D Lee-Yang CFT. We show how to tune the model and find that the lowest-lying states of the Hamiltonian align well with the expected CFT spectrum. We discuss the Fuzzy Sphere estimates for the scaling dime…

Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System
Muhammad Shamrooz Aslam, Hazrat Bilal, Sumeera Shamrooz
https://arxiv.org/abs/2506.02788

Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System
This paper addressed with the quantized dissipative uncertain problem for delayed fractional T_S Fuzzy system for event_triggered networked systems (E_NS), where the extended dissipativity analysis combines the H infinity, dissipativity, L2 and L infinity and passivity performance in a unified frame. To attain the high efficiency for available channel resources, measurement size decrease mechanism and event_triggered scheme (ETS) are proposed. Firstly, we present the ETS in which signal is tran…

Isomorphism and Fuzzy Subspaces
Iffat Jahan
https://arxiv.org/abs/2508.02699 https://arxiv.org/pdf/2508.02699

Isomorphism and Fuzzy Subspaces
This work provides a necessary and sufficient condition for the isomorphism of two fuzzy subspaces in terms of their dimensions.

Fuzzy permutation time irreversibility for nonequilibrium analysis of complex system
Wenpo Yao
https://arxiv.org/abs/2506.08058 https://

Fuzzy permutation time irreversibility for nonequilibrium analysis of complex system
Permutation time irreversibility is an important method to quantify nonequilibrium characteristics of complex systems; however, ordinal pattern is a coarse-graining alternative of temporal structure and cannot accurately represent detailed structural information. This study aims to propose a fuzzy permutation time irreversibility (fpTIR) by measuring the difference between vector elements based on a negative exponential function. The amplitude permutation of vector is constructed and its member…

A Semi-Analytic model for Effects of Fuzzy Dark Matter Granule Perturbations on Orbital Motion
Yu Zhao, Andrew Benson, Xiaolong Du
https://arxiv.org/abs/2507.07963

A Semi-Analytic model for Effects of Fuzzy Dark Matter Granule Perturbations on Orbital Motion
In fuzzy dark matter scenarios, the quantum wave nature of ultralight axion-like particles generates stochastic density fluctuations inside dark matter halos. These fluctuations, known as granules, perturb the orbits of subhalos and other orbiting bodies. While previous studies have simulated these effects using N-body techniques or modeled them statistically using diffusion approximations, we propose an alternative framework based on representing the perturbations as a Fourier series with rand…

The Evolution of Jupiter and Saturn as a function of the Semi-convective Parameter R$_{\rho}$
Ankan Sur, Adam Burrows, Roberto Tejada Arevalo
https://arxiv.org/abs/2506.19041

The Evolution of Jupiter and Saturn as a function of the Semi-convective Parameter R$_ρ$
Computed using the APPLE planetary evolution code, we present updated evolutionary models for Jupiter and Saturn that incorporate helium rain, non-adiabatic thermal structures, and "fuzzy" extended heavy-element cores. Building on our previous Ledoux-stable models, we implement improved atmospheric boundary conditions that account for composition-dependent effective temperatures and systematically explore the impact of varying the density ratio parameter R$_ρ$, which governs in an approximate …

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Takashi Yoshimatsu, Huw Wiggin & John Lenehan:
🎵 Fuzzy Bird Sonata, Op. 44: II. Sing, Bird
#TakashiYoshimatsu #HuwWiggin #JohnLenehan

Differentiable Fuzzy Cosmic-Web for Field Level Inference
P. Rossell\'o, F. -S. Kitaura, D. Forero-S\'anchez, F. Sinigaglia, G. Favole
https://arxiv.org/abs/2506.03969

Differentiable Fuzzy Cosmic-Web for Field Level Inference
A comprehensive analysis of the cosmological large-scale structure derived from galaxy surveys involves field-level inference, which requires a forward modelling framework that simultaneously accounts for structure formation and tracer bias. While structure formation models are well-understood, the development of an effective field-level bias model remains imprecise, particularly in the context of tracer perturbation theory within Bayesian reconstruction methods, which we address in this work. …