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A fuzzy logic model for taxi service assessment using passenger survey data from Ukraine and Poland. [PDF]
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Uncertainty measurement for a fuzzy relation information system
IEEE Transactions on Fuzzy Systems, 2019A fuzzy relation information system may be viewed as an information system with fuzzy relations. Uncertainty measurement is a critical evaluating tool. This paper investigates uncertainty measurement for a fuzzy relation information system.
Gangqiang Zhang +2 more
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Humberto Bustince Sola +5 more
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Attributes reductions of bipolar fuzzy relation decision systems
Neural Computing and Applications, 2019Muhammad Akram +2 more
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Some Results of the Fuzzy Relation Inequalities With Addition–Min Composition
IEEE Transactions on Fuzzy Systems, 2018Shaojun Yang
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IEEE transactions on fuzzy systems, 2023
This article deals with the set of minimal solutions for fuzzy relation inequalities with addition-min composition. We first show a necessary and sufficient condition for a solution of the fuzzy relation inequalities being a minimal one, then we propose ...
M. Li, Xue-ping Wang
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This article deals with the set of minimal solutions for fuzzy relation inequalities with addition-min composition. We first show a necessary and sufficient condition for a solution of the fuzzy relation inequalities being a minimal one, then we propose ...
M. Li, Xue-ping Wang
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System identification of fuzzy relation matrix models by semi-tensor product operations
Fuzzy Sets Syst., 2021In order to facilitate the representation of fuzzy relation matrix (FRM) models, a new system identification technique is proposed in this work to recognize the architecture and parameters of FRM models based on the semi-tensor product (STP) operation ...
Hong L. Lyu, Wilson Q. Wang, Xiao P. Liu
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Analytical method for solving max-min inverse fuzzy relation
Fuzzy Sets Syst., 2021This paper focuses on a classical problem of computing max-min inverse fuzzy relation. The resolution for the problem is useful for solving the well known problems of fuzzy abductive/backward reasoning.
Yan-Kuen Wu +3 more
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Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks
IEEE transactions on fuzzy systems, 2020In unsupervised domain adaptation (UDA), a classifier for a target domain is trained with labeled source data and unlabeled target data. Existing UDA methods assume that the source data come from the same source domain (i.e., single-source scenario) or ...
Feng Liu, Guangquan Zhang, Jie Lu
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