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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01302-5
Abstract: An interval fuzzy number-based approach was proposed in this study to model an uncertain yield learning process. The study aimed to overcome the limitations of present methods, wherein the lower and upper bounds of the…
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Keywords:
number based;
yield;
fuzzy number;
based approach ... See more keywords
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Published in 2018 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2018.03.013
Abstract: Abstract In both mathematical theory and engineering application, the uncertainty propagation problem with incomplete knowledge, especially when different types of epistemic uncertainties exist simultaneously, has been recognized as a challenge issue. By using interval variables…
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Keywords:
temperature;
expansion;
epistemic uncertainties;
analysis ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.003
Abstract: Abstract This paper is concerned with a new architecture of a reinforced hybrid interval fuzzy neural networks (RHIFNN) classifier developed with aid of Fuzzy C-Means (FCM) clustering and Particle Swarm Optimization (PSO). The key objectives…
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Keywords:
hybrid interval;
fuzzy neural;
reinforced hybrid;
neural networks ... See more keywords
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Published in 2019 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2896852
Abstract: In this paper, we introduce the notion of a monotone fuzzy partition, which is useful for constructing a monotone zero-order Takagi–Sugeno–Kang Fuzzy Inference System (ZOTSK-FIS). It is known that a monotone ZOTSK-FIS model can always…
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Keywords:
interval fuzzy;
fuzzy inference;
monotone interval;
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Published in 2023 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3193453
Abstract: In realistic decision-making environments, human behaviors bring influences to various decision-making procedures, and classic multiattribute decision-making approaches based on utility decisions own some deviations from actual situations. The behavioral decision theory modifies classic decision-making theories…
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Keywords:
information;
theory;
interval fuzzy;
decision making ... See more keywords