Results 51 to 60 of about 238,470 (203)
Higher order fuzzy logic in controlling selective catalytic reduction systems [PDF]
, 2014 This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled ...
Kacprowicz, Marcin, Niewiadomski, Adam
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Process Capability Analysis Using Interval Type-2 Fuzzy Sets
International Journal of Computational Intelligence Systems, 2017 In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now.
Abbas Parchami +3 more
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IEEE Access, 2022 Studying the block of center-of-sets (COS) type-reduction (TR) for Takagi Sugeno Kang (TSK) inference-based general type-2 fuzzy logic systems (GT2 FLSs) is meaningful for applying the systems.
Yang Chen
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Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice [PDF]
, 2016 This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the best configurations of interval and ...
Ahmadi, S. +3 more
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Interval type-2 fuzzy sets in supplier selection [PDF]
, 2014 Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. This study introduces a model for solving the supplier selection problem using interval type-2 fuzzy sets.
John, Robert, Turk, Seda, Özcan, Ender
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Introducing Type-2 Fuzzy Sets for Image Texture Modelling [PDF]
, 2009 In this paper, the texture property ”coarseness” is modeled by means of type-2 fuzzy sets, relating representative coarseness measures (our reference set) with the human perception of this texture property.
D. Sánchez +2 more
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Dementia Classification Approach Based on Non-Singleton General Type-2 Fuzzy Reasoning
AxiomsDementia is the most critical neurodegenerative disease that gradually destroys memory and other cognitive functions. Therefore, early detection is essential, and to build an effective detection model, it is required to understand its type, symptoms ...
Claudia I. Gonzalez
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Employing an Enhanced Interval Approach to encode words into Linear General Type-2 fuzzy sets for Computing With Words applications [PDF]
, 2015 In 1996, Zadeh coined Computing With Words (CWWs) to be a methodology in which words are used instead of numbers for computing and reasoning. One of the main challenges which faced the CWWs paradigm has been modelling words adequately. Mendel has pointed
Alghazzawi, Daniyal +4 more
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e-Prime: Advances in Electrical Engineering, Electronics and EnergyThe review systematically explores the theoretical foundations of type-2 fuzzy sets and the associated mathematical frameworks of the advancements in type-2 fuzzy logic systems (T2-FLS), as well as a comprehensive overview of the state-of-the-art ...
F. Paul Nishanth +2 more
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A big bang-big crunch optimization based approach for interval type-2 fuzzy PID controller design [PDF]
, 2013 In this paper, we will present a big bang-big crunch optimization (BB-BC) based approach for the design of an interval type-2 fuzzy PID controller. The implemented global optimization algorithm has a low computational cost and a high convergence speed ...
Hagras, Hani, Kumbasar, Tufan
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