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A Markov-type inequality for seminormed fuzzy integrals
Applied Mathematics and Computation, 2013 1 ...
Caballero, J., Sadarangani, K.
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On Strict Convergence in Measure Theorems for Seminormed and Semiconormed Fuzzy Integrals
International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsWe provide several strict convergence in measure theorems for the seminormed and semiconormed fuzzy integrals. These results are finer in comparison with the strict convergence in measure theorem which has been previously studied.
Hoang, Do Huy +4 more
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From comonotone commuting properties of seminormed fuzzy integrals to solving two open problems
Information Sciences, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luan, Tran Nhat +2 more
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On a convergence in measure theorem for the seminormed and semiconormed fuzzy integrals
Fuzzy Sets and Systems, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Do Huy Hoang +4 more
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On representation of seminormed integral using level dependent Boolean capacities
IEEE International Conference on Fuzzy Systems, 2019We present an alternative representation of seminormed integrals based on the t-cut of a monotone measure being a special level dependent Boolean capacity.
Jana Borzová +2 more
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General Hardy type inequality for seminormed fuzzy integrals
Applied Mathematics and Computation, 2010The classical Hardy inequality \(\int_0^\infty (\frac Fx)^p\,dx< (\frac p{p-1})^p \int_0^\infty f^p(x) \,dx\) is generalized for seminormed fuzzy integrals. Hardy type inequalities based on an aggregation function for seminormed fuzzy integrals are shown.
Agahi, Hamzeh, Yaghoobi, M. A.
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On fuzzy measures defined by seminormed fuzzy integrals and semiconormed fuzzy integrals
Fuzzy Sets and Systems, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Online streaming feature selection based on Sugeno fuzzy integral
Iranian Joint Congress on Fuzzy and Intelligent Systems, 2022Feature selection is a step in which an optimal subset of features is selected for the learning process. This step is applied to high-dimensional data, so that irrelevant and redundant features are removed from the data.
Amin Hashemi +2 more
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IEEE transactions on fuzzy systems, 2023
This article analyzes the mechanism of denial-of-service (DoS) attacks initiated by hackers from the perspective of computer networks. In order to effectively estimate the performance error generated by the T–S fuzzy networked control systems under DoS ...
Xiao Cai +5 more
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This article analyzes the mechanism of denial-of-service (DoS) attacks initiated by hackers from the perspective of computer networks. In order to effectively estimate the performance error generated by the T–S fuzzy networked control systems under DoS ...
Xiao Cai +5 more
semanticscholar +1 more source
IEEE transactions on fuzzy systems, 2022
Recently, frequent emergencies seriously impact people’s life and production. The timely emergency material can save more people. Hence, emergency material demand prediction is a core of emergency rescue.
Decui Liang, Y. Fu, Zeshui Xu
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Recently, frequent emergencies seriously impact people’s life and production. The timely emergency material can save more people. Hence, emergency material demand prediction is a core of emergency rescue.
Decui Liang, Y. Fu, Zeshui Xu
semanticscholar +1 more source