?
The fuzzy representation of prior information for separating outliers in statistical experiments.
P. 167–174.
Bronevich A., Мацыпаев Д. А.
The paper presents a new fuzzy set based description which helps to distinguish the expected values of the statistical experiment from the outliers. Since the Neyman-Pearson criterion is not adequate in some real applications for such purpose, we propose to use triangular norms for conjuction of two propositions about typical and non-typical values and describe both of them as a fuzzy set that is called the typical transform. We also investigate such a property of the typical transform as stability.
In book
Vol. 315. , Dordrecht, L., Heidelberg, NY: Springer, 2015.
Shvedov A. S., Sviyazov V., В кн.: Системное моделирование социально-экономических процессов: труды 46-ой международной научной школы-семинара, г. Уфа, 9 - 15 октября 2023 г.: Воронеж: Истоки, 2024. С. 526–531.
The generalized autoregressive conditional heteroscedasticity model is widely applied to financial time series. There are further generalizations of this model. One of such generalizations is a combination of Takagi–Sugeno type fuzzy systems and autoregressive conditional heteroscedasticity models. The Takagi–Sugeno fuzzy systems advantage is that there is a standalone generalized autoregressive conditional heteroscedasticity model constructed for ...
Added: June 26, 2024
Springer, 2022.
This book constitutes selected and revised papers from the 22nd International Conference on Mathematical Modeling and Supercomputer Technologies, MMST 2022, held in Nizhny Novgorod, Russia, in November 2022.
The 20 full papers and 5 short papers presented in the volume were thoroughly reviewed and selected from the 48 submissions. They are organized in topical secions on computational methods ...
Added: December 26, 2022
Shvedov A. S., Discrete Mathematics and Applications 2022 Vol. 32 No. 2 P. 139–145
Added: May 31, 2022
Omrani H., Alizadeh A., Emrouznejad A. et al., Expert Systems with Applications 2022 Vol. 189 Article 116021
Performance evaluation enables decision makers (DMs) to have a better view about the weaknesses and strengths of leading units to improve efficiencies as a crucial goal. Data envelopment analysis (DEA) is the most popular technique to measure performance efficiency of decision making units (DMUs). However, conventional DEA is unable to consider uncertainty of input and ...
Added: October 12, 2021
Springer, 2021.
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021.
The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length.
The research part ...
Added: July 10, 2021
Stonyakin F. S., Alkousa M., Titov A. et al., , in: Mathematical Optimization Theory and Operations Research, 18th International Conference, MOTOR 2019 Ekaterinburg, Russia, July 8–12, 2019Vol. 11548.: Springer, 2019. P. 82–96.
We consider the classical optimization problem of minimizing a strongly convex, non-smooth, Lipschitz-continuous function with one Lipschitz-continuous constraint. We propose two methods for the considered problem with adaptive stopping rules. The main idea of the methods is using the dichotomy method and solving an auxiliary one-dimensional problem at each iteration. Theoretical estimates for the proposed methods ...
Added: October 29, 2020
Shvedov A. S., Automation and Remote Control 2020 Vol. 81 No. 7 P. 1279–1285
The result on existence of a pure-strategy symmetric Bayesian Nash equilibrium in the war of attrition is generalized for fuzzy players’ actions and types. ...
Added: September 26, 2020
Shvedov A. S., Автоматика и телемеханика 2020 № 7 С. 139–147
The result on existence of a pure-strategy symmetric Bayesian Nash equilibrium in the war of attrition is generalized for fuzzy players' actions and types. ...
Added: September 26, 2020
Frolov D., Mirkin B., Nascimento S. et al., , in: Fuzzy Systems (FUZZ-IEEE), IEEE International Conference Proceedings.: IEEE, 2019. P. 1–6.
This paper presents an algorithm, ParGenFS, for generalizing, or “lifting”, a fuzzy set of topics to higher ranks of a hierarchical taxonomy of a research domain. The algorithm ParGenFS finds a globally optimal generalization of the topic set to minimize a penalty function, by balancing the number of introduced “head subjects” and related errors, the ...
Added: October 30, 2019
P.: Atlantis Press, 2019.
Added: September 25, 2019
Savchenko L.V., Savchenko A.V., Journal of Communications Technology and Electronics 2019 Vol. 64 No. 3 P. 238–244
In this paper, we studied the phonetic approach for voice processing. A method for automatic recognition
of speech signals, in which each quasistationary segment is associated with a fuzzy set of phonemes,
was developed. We proposed the operation of the probabilistic triangular norm for fuzzy sets corresponding
to the input frame and the nearest reference phoneme. The developed ...
Added: June 7, 2019
Savchenko A., Savchenko L., Радиотехника и электроника 2019 Т. 64 № 3 С. 274–280
Исследован фонетический подход для систем обработки голосовой информации. Разработан метод автоматического распознавания речевых сигналов, в котором каждому квазистационарному сегменту ставится в соответствие нечеткое множество фонем. Предложено использовать операцию вероятностной треугольной нормы для нечетких множеств, соответствующих входному фрейму и ближайшей к нему эталонной фонемы. Экспериментально показано, что разработанный метод позволяет на 1.5…5% снизить вероятность ошибочного распознавания ...
Added: March 18, 2019
Cham: Springer, 2018.
This book constitutes the proceedings of the 16th Russian Conference on Artificial Intelligence, RCAI 2018, Moscow, Russia, in September 2018.
The 22 full papers presented along with 4 short papers in this volume were carefully reviewed and selected from 75 submissions. The conference deals with a wide range of topics, including data mining and knowledge discovery, text mining, ...
Added: November 10, 2018
Springer, 2018.
By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations in advanced intelligent technologies and systems. From intelligent control and intuitionistic fuzzy quantifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent ...
Added: July 17, 2018
Savchenko A., Belova N. S., Savchenko Lyudmila V., Optical Memory and Neural Networks (Information Optics) 2018 Vol. 27 No. 1 P. 23–31
We discuss the video classification problem with the matching of feature vectors extracted using deep convolutional neural networks from each frame. We propose the novel recognition method based on representation of each frame as a sequence of fuzzy sets of reference classes whose degrees of membership are defined based on asymptotic distribution of the Kullback–Leibler ...
Added: February 9, 2018
Romanyuk K., Финансы и кредит 2015 Т. 21 № 24 С. 45–53
...
Added: November 20, 2017
Cham: Springer, 2018.
This volume constitutes the proceedings of two collocated international conferences: EUSFLAT-2017 – the 10th edition of the flagship Conference of the European Society for Fuzzy Logic and Technology held in Warsaw, Poland, on September 11–15, 2017, and IWIFSGN’2017 – The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, held in Warsaw on September ...
Added: October 5, 2017
Esaulov D., Mathematical Methods of Statistics 2013 Vol. 22 No. 4 P. 333–349
In the paper a new nonparametric generalized M-test for hypotheses about the order of linear autoregression AR(p) is constructed. We also establish robustness of this test in the model of data contamination by independent additive outliers with intensity O(n−1/2). Robustness is formulated in terms of limiting power equicontinuity. Test statistics are constructed with the help of ...
Added: October 19, 2016
Boldin M. V., Esaulov D., Moscow University Mathematics Bulletin 2014 Vol. 69 No. 1 P. 29–32
The local qualitative robustness of GM-tests against outliers in the autoregression model is studied in the paper. A local scheme of data contamination by independent outliers with the intensity O(n−1/2) is considered. The qualitative robustness in terms of power equicontinuity is obtained. The GM-tests asymptotically optimal in the maximin sense are constructed. ...
Added: October 17, 2016
Болдин М. В., Esaulov D., Вестник Московского университета. Серия 1: Математика. Механика 2014 № 1 С. 46–50
The local qualitative robustness of GM-tests against outliers in the autoregression model is studied in the paper. A local scheme of data contamination by independent outliers with the intensity O(n -1/2) is considered. The qualitative robustness in terms of power equicontinuity is obtained. The GM-tests asymptotically optimal in the maximin sense are constructed. ...
Added: October 17, 2016