Results 61 to 70 of about 6,233 (217)

Interval type-2 defuzzification using uncertainty weights [PDF]

, 2017
One of the most popular interval type-2 defuzzification methods is the Karnik-Mendel (KM) algorithm. Nie and Tan (NT) have proposed an approximation of the KM method that converts the interval type-2 membership functions to a single type-1 membership ...
Runkler, Thomas, John, Robert, 1955-, John, Robert, Runkler, Thomas A., Thomas A. Runkler, Chen, Chao, Chao Chen, Robert John, Simon Coupland, Coupland, Simon   +9 more
core   +1 more source

An improved hybrid defuzzification method for fuzzy controllers

, 2023
International audienceThis paper deals with fuzzy logic controllers. Our interest is in studying different techniques of defuzzification methods. In particular, we propose a generalization of the WABL method to the multiple output system controller.
Nachaoui, Abdeljalil, Nachaoui, Mourad, Mourad Nachaoui, R. Y. Shikhlinskaya, Abdeljalil Nachaoui, Abdelali Elmoufidi, Shikhlinskaya, R., Elmoufidi, Abdelali   +7 more
core   +1 more source

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

Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck [PDF]

, 2012
Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be
Greenfield, Sarah
core   +4 more sources

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

A Data‐Validated Multi‐Criteria Decision Framework for Ranking Sustainable Energy Pathways Toward Net‐Zero Emissions

Energy Science &Engineering, Volume 14, Issue 10, Page 4752-4769, October 2026.
Using a fuzzy DEMATEL–VIKOR framework, this study reveals policy feasibility and technological readiness as the strongest drivers of decarbonization success. The compromise ranking prioritizes energy efficiency and renewable as the most balanced strategies, whereas carbon capture and storage and the circular economy rank as the least favorable under ...
Yue Lou, Zhang Di, Te Ma, Jingyuan Zhao, M. Mehdi Shafieezadeh   +4 more
wiley   +1 more source

INFORMATION TECHNOLOGY OF AUTONOMOUS NEUROFUZZY MOTION CONTROL OF THE GROUND MOBILE ROBOTICS PLATFORM

Електроніка та інформаційні технології
Background. The development of ground-based mobile robotic platform (GBMRP) motion control systems requires ensuring autonomy, adaptability to dynamic environmen­tal changes, and consideration of limitations on computing resources, mass, dimensional ...
Ivan Tsmots, Vasyl Teslyuk, Yurii Opotyak, Vasyl Rabyk, Oleksandr Oliinyk   +4 more
doaj   +1 more source

Shannon entropy-based approach for calculating values of WABL parameters

Journal of Taibah University for Science, 2020
In the application phase of the fuzzy theory, it is an obvious advantage to have a valuable defuzzification. The defuzzification method that we deal with in this work is a flexible, adaptable and multi-purpose method.
Ali Mert
doaj   +1 more source

Fuzzy‐Gated Selective Machine Learning for CTI‐Based Network Connection Management: A Pareto Evaluation

International Journal of Network Management, Volume 36, Issue 6, November/December 2026.
ABSTRACT Modern network operations require timely IP risk decisions without executing complete machine learning pipelines for every observed address. This work proposes an interpretable and conservative fuzzy‐gated selective inference architecture for multisource cyber threat intelligence (CTI)‐based network connection management.
Francisco V. J. Nobre, Ivo A. Pimenta, Janaína R. Santos, Davi O. Alves, Henrique V. Oliveira, Nubio Vidal, Rafael L. Gomes   +6 more
wiley   +1 more source