A new objective weighting method based on robustness of ranking with standard deviation and correlation: The ROCOSD method

O Pala - Information Sciences, 2023 - Elsevier
In this study, we proposed a new objective criteria weighting method simultaneously
addressing standard deviations, correlation coefficients and robustness of ranking. The …

Application of improved lightweight network and Choquet fuzzy ensemble technology for soybean disease identification

Y Hang, X Meng, Q Wu - IEEE Access, 2024 - ieeexplore.ieee.org
The identification of soybean disease images in natural scenes has been a challenging task
due to their complex backgrounds and diverse spot patterns. Traditional single convolutional …

[HTML][HTML] Representation, optimization and generation of fuzzy measures

G Beliakov, JZ Wu, W Ding - Information Fusion, 2024 - Elsevier
We review recent literature on three aspects of fuzzy measures: their representations,
learning optimal fuzzy measures and random generation of various types of fuzzy measures …

[HTML][HTML] Generalized dissemblance index as a difference of first moments of fuzzy numbers–A new perspective on the distance of fuzzy numbers

J Stoklasa, P Luukka, J Stoklasová - Information Sciences, 2024 - Elsevier
This paper investigates the formulation of the dissemblance index as a basis for the
calculation of distances of fuzzy numbers and explores its potential linkages with standard …

Improved Maximum Power Point Tracking Control for D-PMSG Systems: Fuzzy Gradient Step Approach

MQ Nawaz, W Jiang, M Usman, A Khan - Journal of Electronics …, 2024 - jeeemi.org
This study introduces an enhanced Maximum Power Point Tracking (MPPT) control strategy
for Direct Drive Permanent Magnet Synchronous Generators (D-PMSG) utilizing a Fuzzy …

[PDF][PDF] Learning capacities from data in large universes

V Racine - 2023 - uwaterloo.ca
The Choquet integral, defined with respect to a capacity, also known as a non-additive set
function or fuzzy measure, constitutes a versatile class of aggregation operators …

Fully Interpretable Stacking Fuzzy Classifier and its Stochastic Configuration Based Learning for High-Dimensional Data

Y Li, F Chung, S Wang - Available at SSRN 4782232 - papers.ssrn.com
While interpretable classification on high-dimensional data is pursued from the perspective
of fuzzy systems, this study provides a novel stacking fuzzy classifier called FIS-FC to …