Titlebook: Applications of Fuzzy Techniques; Proceedings of the 2 Scott Dick,Vladik Kreinovich,Pawan Lingras Conference proceedings 2023 The Editor(s)

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助記

https://doi.org/10.1007/978-1-4615-0521-1ere the spacecraft must move from an initial state to docking state as quickly as possible. All three controllers are shown to produce an optimal solution and complete the task in minimal time, where the hybrid approach balances the benefits of the LQR and fuzzy approaches.

hazard

Thomas P. Gullotta,Martin Blooman lead to disastrous consequences. At present, all economists agree that the economic distributions are not Gaussian – however, surprisingly, Gaussian copulas still often provide an accurate description of economic phenomena. In this paper, we explain this surprising fact by using fuzzy-related arguments.

一大群

M. Michael Umble,Elisabeth J. Umbleree major machine learning concepts (Semi-Supervised Learning, Informed Machine Learning, and Soft Computing) in its analysis pipeline and presents a different perspective to approaching Genetic Fuzzy Systems (GFSs). The presented method was competitive when benchmarked against a fully connected neural network and a kNN model.

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A New Weighting Method in Fuzzy Multi-criteria Decision Making: Selected Element Reduction Approachreates the greatest change becomes the criterion with the highest weight. The values obtained as a result of the method are directly proportional to the weights of the criteria. The new method has been introduced to the literature with the application of personnel selection case.

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,Hybrid Fuzzy-LQR Control for?Time Optimal Spacecraft Docking,ere the spacecraft must move from an initial state to docking state as quickly as possible. All three controllers are shown to produce an optimal solution and complete the task in minimal time, where the hybrid approach balances the benefits of the LQR and fuzzy approaches.

宇宙你

,Why Gaussian Copulas Are Ubiquitous in?Economics: Fuzzy-Related Explanation,an lead to disastrous consequences. At present, all economists agree that the economic distributions are not Gaussian – however, surprisingly, Gaussian copulas still often provide an accurate description of economic phenomena. In this paper, we explain this surprising fact by using fuzzy-related arguments.

CESS

Semi-supervised Physics-Informed Genetic Fuzzy System for IoT BLE Localization,ree major machine learning concepts (Semi-Supervised Learning, Informed Machine Learning, and Soft Computing) in its analysis pipeline and presents a different perspective to approaching Genetic Fuzzy Systems (GFSs). The presented method was competitive when benchmarked against a fully connected neural network and a kNN model.

Silent-Ischemia

Monte R. Swain,Stanley E. Fawcettis used to model a nonlinear system, and to forecast a time series of actual electricity load data. Computational experiments show that the data-driven level set method outperforms state of the art machine learning algorithms.