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Picture fuzzy sets (PFSs) are a versatile generalization of fuzzy sets and intuitionistic fuzzy sets (IFSs), providing a robust framework for modeling imprecise, uncertain, and inconsistent information across various fields.
Sijia Zhu, Zhe Liu
semanticscholar +1 more source
Lessons Learned From the Training of GANs on Artificial Datasets
Generative Adversarial Networks (GANs) have made great progress in synthesizing realistic images in recent years. However, they are often trained on image datasets with either too few samples or too many classes belonging to different data distributions.
Shichang Tang
doaj +1 more source
An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction
The construction of fuzzy conditional relations has been considered in Raha’s similarity-based inference schema, but inappropriate conclusions will be drawn in some cases due to the use of a single modification function.
Ziquan Jiao +4 more
doaj +1 more source
Unsupervised Representation Learning with Minimax Distance Measures [PDF]
We investigate the use of Minimax distances to extract in a nonparametric way the features that capture the unknown underlying patterns and structures in the data.
Chehreghani, Morteza Haghir
core +2 more sources
A time series is a sequence of observations that a variable takes with respect to times. It has a wide range of applications in decision making and forecasting in economics, agriculture, medicine, industry, energy sector and other scientific fields. Time
Shahbaz G Hassan +5 more
doaj +1 more source
Measures of noncompactness on w-distance spaces [PDF]
The aim of this paper is to provide a new framework for the study of measures of noncompactness in generalized metric spaces. Firstly, we introduce the notion of w-measure of noncompactness on metric spaces with a w-distance and extend the diameter and ...
Kostić Aleksandar
doaj +1 more source
Probabilistic dual hesitant fuzzy set (PDHFS) is an enhanced version of a dual hesitant fuzzy set (DHFS) in which each membership and non-membership hesitant value is considered along with its occurrence probability.
Harish Garg, Gagandeep Kaur
doaj +1 more source
Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set of ideal values or characteristics are required to be met.
Victor G. Alfaro-Garcia +3 more
doaj +1 more source
A vectorial tree distance measure [PDF]
Abstract A vectorial distance measure for trees is presented. Given two trees, we define a Tree-Alignment (T-Alignment). We T-align the trees from their centers outwards, starting from the root-branches, to make the next level as similar as possible.
Avner Priel, Boaz Tamir
openaire +3 more sources
On distance measures for well-distributed sets [PDF]
In this paper we investigate the Erd\"os/Falconer distance conjecture for a natural class of sets statistically, though not necessarily arithmetically, similar to a lattice.
Iosevich, Alex, Rudnev, Misha
core +2 more sources

