Results 171 to 180 of about 1,978,710 (243)
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IEEE transactions on fuzzy systems, 2021
In this article, we study the problems of bipartite and cooperative consensus with a strictly dissipative performance for fuzzy multiagent systems (MASs) in a unified framework. First, we prove that bipartite consensus over a structurally balanced signed
Jiafeng Yu, C. Ahn, Peng Shi
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In this article, we study the problems of bipartite and cooperative consensus with a strictly dissipative performance for fuzzy multiagent systems (MASs) in a unified framework. First, we prove that bipartite consensus over a structurally balanced signed
Jiafeng Yu, C. Ahn, Peng Shi
semanticscholar +1 more source
Fuzzy topology discovery protocol for SDN-based wireless sensor networks
Simulation modelling practice and theory, 2017The growing trend in pervasive systems forces traditional wireless sensor networks to deal with new challenges, such as dynamic application requirements and heterogeneous networks.
Nasim Abdolmaleki +3 more
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Fuzzy consensus of multi‐agent systems with granular fuzzy uncertainty in communication topology
Asian journal of control, 2022In this paper, the consensus problem in linear multi‐agent systems with uncertain topology is investigated. The uncertainty in the communication topology is represented by granular fuzzy numbers obtained from expert knowledge, and the required ...
Razieh Abdollahipour +2 more
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The Categorical Topology Approach to Fuzzy Topology and Fuzzy Convergence
Fuzzy Sets and Systems, 1991The aim of this article is to look at fuzzy topology from the viewpoint of categorical topology. Starting with FTS (the category of fuzzy topological spaces) [\textit{R. Lowen}, J. Math. Analysis Appl. 56, 621-633 (1976; Zbl 0342.54003)] the authors determine which subcategories of FTS, for instance, TOP (the category of topological spaces), FNS (the ...
R Lowen, P Wuyts
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Fuzzy Sets and Systems, 2000
This is one of four papers in which the authors develop a theory of extended fuzzy topologies based on fuzzy stacks [J. Fuzzy Math. 6, No. 1, 223-261 (1998; Zbl 0909.54003); ibid., No. 3, 539-574 (1998; Zbl 0913.54007); 575-608 (1998; Zbl 0913.54008)].
Werner Gähler +2 more
openaire +2 more sources
This is one of four papers in which the authors develop a theory of extended fuzzy topologies based on fuzzy stacks [J. Fuzzy Math. 6, No. 1, 223-261 (1998; Zbl 0909.54003); ibid., No. 3, 539-574 (1998; Zbl 0913.54007); 575-608 (1998; Zbl 0913.54008)].
Werner Gähler +2 more
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Fuzzy Rough Sets, Fuzzy Preorders and Fuzzy Topologies
Fuzzy Sets and Systems, 2013This paper shows that observations made by different authors at different times regarding one-to-one correspondence between the family of fuzzy preorders on a nonempty set and the family of all fuzzy topologies on this set satisfying certain extra conditions are essentially equivalent.
S P Tiwari
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L-Fuzzy Preproximities and L-Fuzzy Topologies
Information Sciences, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Chan Kim
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IEEE transactions on fuzzy systems
In this article, we study the distributed fuzzy formation control problem for a class of strict-feedback nonlinear multiagent systems (NMASs) under communication delays and jointly connected switching topology.
Haodong Zhou, Yi Zuo, Shao-Cheng Tong
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In this article, we study the distributed fuzzy formation control problem for a class of strict-feedback nonlinear multiagent systems (NMASs) under communication delays and jointly connected switching topology.
Haodong Zhou, Yi Zuo, Shao-Cheng Tong
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High-order Topology for Deep Single-Cell Multiview Fuzzy Clustering
IEEE transactions on fuzzy systemsSingle-cell multiview clustering is essential for analyzing the different cell subtypes of the same cell from different views. Some attempts have been made, but most of these models still struggle to handle single-cell sequencing data, primarily due to ...
Dayu Hu +5 more
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2002
This work is an introductory investigation, on the lines of [9] and [10], into some topological aspects of fuzzy machines (studied in [4-8]), wherein we introduce a topology on the state-set of a fuzzy automaton and use it, together with some standard topological results, to deduce some fuzzy automata theoretic results given in [4-8].
Arun K. Srivastava, S. P. Tiwari
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This work is an introductory investigation, on the lines of [9] and [10], into some topological aspects of fuzzy machines (studied in [4-8]), wherein we introduce a topology on the state-set of a fuzzy automaton and use it, together with some standard topological results, to deduce some fuzzy automata theoretic results given in [4-8].
Arun K. Srivastava, S. P. Tiwari
openaire +1 more source