Results 221 to 230 of about 295,628 (369)

Enhanced trajectory tracking and robustness in magnetic levitation via takagi-sugeno fuzzy control: experimental approach. [PDF]

Sci Rep
T Y, Jonnalagadda VK, Korupu VL, Elumalai VK.   +3 more
europepmc   +1 more source

A MATHEMATICAL MODEL OF THE ASSESSMENT OF THE SEVERITY OF GENITAL HERPES ON THE BASIS OF FUZZY LOGIC

, 2019
М. И. Лукашов, Е.В. Письменная, Olga Yu. Olisova, L. V. Starodubtseva, L. V. Shulga   +4 more
openalex   +1 more source

Models in Decision‐Making Under Risk and Uncertainty

Journal of Economic Surveys, Volume 40, Issue 1, Page 304-320, February 2026.
ABSTRACT This paper systematically compares dominant frameworks for modeling decision‐making under risk and uncertainty, evaluating their theoretical trade‐offs and practical relevance for economic research. We establish key criteria for model selection—including predictive accuracy, descriptive realism, computational tractability, and ecological ...
Martin Höppner
wiley   +1 more source

Intelligent power control using deep neural networks and regularized learning for shipboard microgrid. [PDF]

Sci Rep
Deng W, Lu K, Li X, Muyeen SM, Khandakar A, Mohammadzadeh A.   +5 more
europepmc   +1 more source

Implementation Of Mamdani Fuzzy Logic In The Assessment System Of Merdeka Belajar Kampus Merdeka (MBKM) Activities: Case Study Of Mathematics Study Program At Bangka Belitung University

Baiq Desy Aniska, Randa Trezenki, Afina Shabirah, Novia Novia, Lianawati   +4 more
openalex   +2 more sources

Investigating Mathematics Attitude for High School Students by Using Fuzzy Logic Method

, 2014
Necdet Güner, Emre Çomak
openalex   +2 more sources

Generative High‐Resolution Ensemble Weather Forecast Supports Renewable Energy Planning and Operation

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract The planning and operation of renewable energy, especially wind power, depend crucially on accurate, timely, and high‐resolution weather information. Coarse‐grid global numerical weather forecasts are typically downscaled to meet these requirements, introducing challenges of scale inconsistency, process representation error, computation cost ...
Jingnan Wang, Jie Chao, Shangshang Yang, Congyi Nai, Kaijun Ren, Kefeng Deng, Xi Chen, Yaxin Liu, Qiuzi Han Wen, Ziniu Xiao, Lifeng Zhang, Xiaodong Wang, Jiping Guan, Baoxiang Pan   +13 more
wiley   +1 more source

Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation. [PDF]

Sci Rep
Bilal M, Chaoqian L, Popa IL.
europepmc   +1 more source

Modeling Uncertainty With Engression: A Deep Generative Time‐Series Approach

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Deep learning enables precise environmental predictions across spatial and temporal scales. However, reliable uncertainty estimation with generative capabilities remains crucial for actionable forecasting and simulation, yet robust quantification methods remain challenging.
Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson   +6 more
wiley   +1 more source

A knowledge-informed neural network integrating fuzzy AHP and PCA for SME credit risk assessment. [PDF]

Sci Rep
Li T, Ali MKM.
europepmc   +1 more source