Results 81 to 90 of about 9,960 (247)

Fuzzification of training data class membership binary values for neural network algorithms [PDF]

, 2020
We propose an algorithm improvement for classifying machine learning algorithms with the fuzzification of training data binary class membership values. This method can possibly be used to correct the training data output values during the training.
Tajti, Tibor
core   +2 more sources

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, Volume 104, Issue 11, Page 5991-6006, November 2026.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations

Expert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of intelligent autonomous devices.
Vyacheslav Kungurtsev, Alessandro Di Frenna, Gustav Šír, Monicah Cherop Naibei, Haozhe Tian, Homayoun Hamedmoghadam, Akhil Anand, Sebastien Gros   +7 more
wiley   +1 more source

A fuzzy analytical hierarchy process -GIS approach to flood susceptibility mapping in NEOM, Saudi Arabia

Frontiers in Water
The Kingdom of Saudi Arabia is undergoing massive and rapid urbanization as part of Vision 2030. This includes development projects along Saudi Arabia’s coastline across the Red Sea.
Barra Faisal Bokhari, Bassam Tawabini, Husam Musa Baalousha   +2 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Hardware Implementation of Fuzzy Logic Based on Thermal Memory Elements for Fault-Tolerant Control in Mechanical Engineering

Advanced Engineering Research
Introduction. The automation of high-temperature processes (for example, laser welding) requires fault-tolerant real-time control systems. Traditional microprocessors exhibit critical software latencies, while promising in-memory computing platforms ...
O. V. Volodina, A. A. Skvortsov, M. R. Rybakova, M. V. Koryachko   +3 more
doaj   +1 more source

Enhanced Prediction of Heat Transfer and Frictional Drag Analysis in MHD Fluid Flow Using Fuzzy α‐Cut Parametric Sensitivity Analysis

Engineering Reports, Volume 8, Issue 10, October 2026.
The MHD Williamson fluid flow across a stretching surface is investigated under parametric uncertainty utilizing triangular fuzzy numbers. Fuzzification provides smoother transitions and better predictions of velocity, temperature, skin friction, and heat transfer than traditional crisp models.
R. Lakshana, A. David Maxim Gururaj
wiley   +1 more source

Two de-I-fuzzification procedures for intuitionistic fuzzy information [PDF]

In this paper, two procedures are proposed that transform intuitionistic fuzzy information into fuzzy information. Using the results obtained with the de-I-fuzzification procedures, formulas for intuitionistic fuzzy entropy are ...
Vasile Patrascu
core   +2 more sources

A Comprehensive Geospatial Dataset for Risk Assessments of Natural Hazards in the United States

Geoscience Data Journal, Volume 13, Issue 4, October 2026.
This study introduces a comprehensive geospatial dataset enabling multi‐hazard climate risk assessment across U.S. counties and census tracts. By standardizing 130 indicators within the IPCC AR6 risk framework, the dataset supports user‐defined risk indices, future scenario analysis, and policy‐relevant resilience and adaptation studies.
Mehdi Hatami Goloujeh, Ege C. Kurter, Jasim Imran   +2 more
wiley   +1 more source

Extended Possibilistic Fuzzification for Classification

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
In this paper, the extended possibilistic fuzzification for classification is proposed. Similar approach with the use of fuzzy–rough fuzzification (Nowicki and Starczewski, 2017; Nowicki, 2019) allows to obtain one of three decisions, i.e. ”yes”, ”no”, and ”I do not know”, The last label occurs when input information is imprecise, incomplete or in ...
Robert K. Nowicki, Janusz T. Starczewski, Rafal Grycuk   +2 more
openaire   +1 more source