Results 51 to 60 of about 1,617 (178)
Discrete Dynamics in Nature and Society, 2015 Intuitionistic fuzzy information aggregation plays an important role in intuitionistic fuzzy set theory and is widely used in group decision making.
Qifeng Wang, Hongbo Lv
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Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 167-189, February 2026.ABSTRACT The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi‐faceted criteria.
Hafiz Muhammad Athar Farid +4 more
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Smart City Lighting for All Ages: Age‐Adaptive Fuzzy Systems for Real‐Time Energy Management
IET Circuits, Devices &Systems, Volume 2026, Issue 1, 2026.Taking advantage of cutting‐edge technologies to efficiently control energy consumption while prioritizing public well‐being is a wise choice for the sustainable development of cities and societies. From this perspective, the proposed approach in this study, which employs real‐time electricity pricing, user age, and user preferences as input parameters
Mohammad Javad Kalani +2 more
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IEEE Access, 2020 The theory of intuitionistic fuzzy set has attracted much attention because of its stronger ability in depicting and modeling uncertainty. Recent years, numbers of distance measures of intuitionistic fuzzy sets have been proposed to distinguish the ...
Fei Ju, Yongzhi Yuan, Ye Yuan, Wen Quan
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A Neutrosophic Set‐Based Active Contour Model for Medical Image Segmentation
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose a neutrosophic set‐based active contour model for accurate and efficient segmentation of magnetic resonance (MR) and retinal images. By combining neutrosophic truth, falsity, and indeterminacy subsets with a Heaviside‐based level set formulation, the method robustly handles noise, intensity inhomogeneity, and weak edges.
Kazım Hanbay
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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
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International Journal of Approximate Reasoning, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chris Cornelis +2 more
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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
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Possibility Intuitionistic Fuzzy Soft Expert Set Theory and Its Application in Decision Making [PDF]
International Journal of Mathematics and Mathematical Sciences, 2015 We propose the theory of possibility intuitionistic fuzzy soft expert theory and define some related concepts pertaining to this notion as well as the basic operations on this concept, namely, the complement, union, intersection, AND, and OR. The basic properties and relevant laws pertaining to this concept such as De Morgan’s laws are proved.
Ganeshsree Selvachandran +1 more
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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
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