Results 11 to 20 of about 3,582,243 (248)
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems, 2006 J. Mendel, R. John, Feilong Liu
semanticscholar +3 more sources
Applied Sciences, 2021 The article presents a multidimensional type 2 epistemic fuzzy arithmetic (MT2EF-arithmetic) based on the new body definition of fuzzy set type 2 (T2FS), which in the authors’ opinion, is more suitable for fuzzy computing than the current versions of ...
Andrzej Piegat, Marek Landowski
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Buildings, 2023 Safety training effectively addresses the inexperience of and lack of knowledge among construction workers, which are some of the most significant contributors to workplace accidents on construction sites.
Ankit Shringi +4 more
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Interval type‑2 fuzzy aggregation operator in decision making and its application [PDF]
, 2021 Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically in the control systems.
Broumi, Said +3 more
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Constrained Interval Type-2 Fuzzy Sets [PDF]
IEEE Transactions on Fuzzy Systems, 2021 In many contexts, type-2 fuzzy sets are obtained from a type-1 fuzzy set to which we wish to add uncertainty. However, in the current type-2 representation there is no restriction on the shape of the footprint of uncertainty and the embedded sets that can be considered acceptable.
Pasquale D'Alterio +3 more
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Evolving Type-2 Fuzzy Classifier [PDF]
IEEE Transactions on Fuzzy Systems, 2016 Evolving fuzzy classifiers (EFCs) have achieved immense success in dealing with nonstationary data streams because of their flexible characteristics. Nonetheless, most real-world data streams feature highly uncertain characteristics, which cannot be handled by the type-1 EFC.
Mahardhika Pratama +2 more
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Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem
IEEE transactions on fuzzy systems, 2021 In practical applications, particularly in flexible manufacturing systems, there is a high level of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced ability to handle high levels of uncertainty. This article proposes
Jun-qing Li +3 more
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Data-Driven Interval Type-2 Fuzzy Inference System Based on the Interval Type-2 Distending Function
IEEE transactions on fuzzy systems, 2023 Fuzzy type-2 modeling techniques are increasingly being used to model uncertain dynamical systems. However, some challenges arise when applying the existing techniques.
J. Dombi, A. Hussain
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Hybrid-Learning Type-2 Takagi–Sugeno–Kang Fuzzy Systems for Temperature Estimation in Hot-Rolling
Metals, 2020 Entry temperature estimation is a major concern for finishing mill set-up in hot strip mills. Variations in the incoming bar conditions, frequent product changes and measurement uncertainties may cause erroneous estimation, and hence, an incorrect mill ...
José Ángel Barrios +2 more
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