Results 21 to 30 of about 15,234,416 (131)
, 2022 To deal with complicated decision problems with T-Spherical fuzzy values in the aggregation process, T-Spherical fuzzy Bonferroni mean operators are developed by extending the Bonferroni mean and Dombi mean to a T-Spherical fuzzy environment.
Wei Yang, Yongfeng Pang
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Comparative evaluation of bioethanol fermentation process parameters using RSM, ANN and ANFIS
Biofuels, Bioproducts and Biorefining, Volume 17, Issue 4, Page 961-975, July/August 2023., 2023 Abstract The drive for renewable energy as an alternative to fossil fuel is on the increase globally. Modeling a renewable energy process is crucial for increasing process monitoring and control of plant efficiency for the ultimate objective of optimal biorefinery operations.
Abiola E. Taiwo, Paul Musonge
wiley +1 more source
H ? filtering for stochastic singular fuzzy systems with time-varying delay [PDF]
, 2014 This paper considers the H? filtering problem for stochastic singular fuzzy systems with timevarying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled ...
Cai, Min +3 more
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IET Image Processing, Volume 17, Issue 3, Page 886-900, 28 February 2023., 2023 1) In our article, color images are no longer three independent matrixes, but a tensor with a low‐rank structure. Under this assumption, the noise‐contaminated color image is regarded as the sum of a tensor with missing data and a salt and pepper noise tensor.
Jun Zhang +3 more
wiley +1 more source
Hybrid Time‐Series Prediction Method Based on Entropy Fusion Feature
International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023 High‐precision time sequence forecasting is a complicated cyber‐physical system (CPS) task. Due to the diversity of data scales and types, the classic time‐series prediction model meets the challenge to deliver accurate prediction results for many forms of time‐series data.
Jing Zhang +3 more
wiley +1 more source
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
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Mathematical Problems in Engineering, Volume 2023, Issue 1, 2023., 2023 The decision‐making technique is very important and valuable and is used for evaluating the best decision from the collection of preferences. In this manuscript, we elaborated the novel concept of the T‐spherical 2‐tuple linguistic (TS2‐TL) set and its operational laws in the consideration of t‐norm and t‐conorm.
Tahir Mahmood +3 more
wiley +1 more source
Analysis of the Shortest Path in Spherical Fuzzy Networks Using the Novel Dijkstra Algorithm
Mathematical Problems in Engineering, 2021 The concept of fuzzy graph (FG) and its generalized forms has been developed to cope with several real-life problems having some sort of imprecision like networking problems, decision making, shortest path problems, and so on. This paper is based on some
Zafar Ullah +5 more
semanticscholar +1 more source
A random set and prototype theory interpretation of intuitionistic fuzzy sets [PDF]
, 2010 An interpretation of intuitionistic fuzzy sets is proposed based on random set theory and prototype theory. The extension of fuzzy labels are modelled by lower and upper random set neighbourhoods, identifying those element of the universe within an ...
Lawry, Jonathan, Jonathan Lawry
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Aczel–Alsina Hamy Mean Aggregation Operators in T-Spherical Fuzzy Multi-Criteria Decision-Making
, 2023 A T-spherical fuzzy set is a more powerful mathematical tool to handle uncertain and vague information than several fuzzy sets, such as fuzzy set, intuitionistic fuzzy set, Pythagorean fuzzy set, q-rung orthopair fuzzy set, and picture fuzzy set.
Liangqing Feng +4 more
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