Results 31 to 40 of about 630 (130)
IET Image Processing, Volume 20, Issue 1, January/December 2026.Glioma segmentation from multimodal MRI is challenging due to tumour heterogeneity and imaging noise. To address this, we propose AIRP‐UNet, an asymmetric hybrid network that integrates an attention‐guided inverted residual decoder and a pyramid pooling module to selectively focus on tumour regions and capture multi‐scale context.
Chunhui Shu +3 more
wiley +1 more source
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.An optimal contract decomposition method considering monthly contract disintegration deviation minimisation and its impact on retail pricing strategy, comparing typical decomposition approaches, is investigated in this paper. The TOU price is settled by solving a multi‐objective optimisation problem considering the retailer's expected profit ...
Ruiqi Lyu +4 more
wiley +1 more source
A Survey on Spiking Neural Networks for Modern Power Systems: Models, Applications and Challenges
IET Smart Grid, Volume 9, Issue 1, January/December 2026.The present survey is unique in the following aspects: Critically analyses the SNN from fundamental aspects. Unifies the literature across different power system subdomains (e.g., stability, forecasting, protection and microgrid control). Integrates bio‐inspired optimisation and neuromorphic computing perspectives.
Amitkumar V. Jha +7 more
wiley +1 more source
A Linear Diophantine Fuzzy Graph‐Theoretic Approach for Planar Dynamic Traffic Optimization
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Dynamic urban traffic signal control systems face uncertainties such as fluctuating vehicle densities, unpredictable incidents, and varying driver behaviors, making precise decision‐making highly challenging. To address these complexities, fuzzy planar graphs have been employed for uncertainty modeling.
Waheed Ahmad Khan +5 more
wiley +1 more source
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 In this paper, it is aimed to express more accurately the intuitionistic fuzzy values expressed by the decision-makers for intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets. For this purpose, virtual intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets are proposed by defining the concepts of virtual lower and upper ...
Orhan DALKILIÇ, Naime DEMİRTAŞ
openaire +1 more source
Heterogeneous Fuzzy Group Decision‐Making Model With Mixed Criteria
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.Organizational decisions, often originating from diverse groups of managers with varying criteria, encounter challenges due to the inherent ambiguity in human judgments, particularly those involving preferences. This paper proposes a nuanced solution using a heterogeneous fuzzy group decision‐making method, accommodating diverse criteria based on real ...
Akbar Karimi +3 more
wiley +1 more source
Interval-Valued Intuitionistic Fuzzy Soft Sets [PDF]
Journal of Korean Institute of Intelligent Systems, 2008 We introduce the concept of interval-valued intuitionistic fuzzy soft sets, which is an extension of the interval-valued fuzzy soft set. We also introduce the concepts of operations for the interval-valued intuitionistic fuzzy soft sets and study basic some properties.
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Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more nuanced representation and examination of intricate ...
Jomal Josen +3 more
wiley +1 more source
Advances in Fuzzy Systems, Volume 2026, Issue 1, 2026.The fast development of artificial intelligence (AI) and robotics has altered the current logistics and service industry, where sustainability, reliability, and efficiency have become critical objectives. Autonomous systems in such dynamic environments are required to make important decisions in uncertain, imprecise, and conflicting situations.
Shahzaib Ashraf +3 more
wiley +1 more source
A Comprehensive Study on Complex Linear Diophantine Fuzzy Graphs and Application in Decision‐Making
Discrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.The linear Diophantine fuzzy set (LDFS) is a generalization of the complex LDFS (CLDFS), developed as a mathematical framework for optimization, soft computing, and decision‐making. This paper integrates graph theory with CLDFS by introducing complex linear Diophantine fuzzy graphs (CLDFGs), which generalize several existing concepts, including ...
Muhammad Amir Asif +5 more
wiley +1 more source