Results 251 to 260 of about 107,687,914 (342)

Uncertainty measurement for a fuzzy relation information system

IEEE Transactions on Fuzzy Systems, 2019
A 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
exaly   +2 more sources

Contrast of a fuzzy relation

open access: yesInformation Sciences, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Humberto Bustince Sola   +5 more
openaire   +2 more sources

Attributes reductions of bipolar fuzzy relation decision systems

Neural Computing and Applications, 2019
Muhammad Akram   +2 more
exaly   +2 more sources

Minimal Solutions of Fuzzy Relation Inequalities With Addition-Min Composition and Their Applications

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
semanticscholar   +1 more source

System identification of fuzzy relation matrix models by semi-tensor product operations

Fuzzy Sets Syst., 2021
In 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
semanticscholar   +1 more source

Analytical method for solving max-min inverse fuzzy relation

Fuzzy Sets Syst., 2021
This 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
semanticscholar   +1 more source

Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks

IEEE transactions on fuzzy systems, 2020
In 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
semanticscholar   +1 more source

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