A TSK-type convolutional recurrent fuzzy network for predicting driving fatigue
G Du, Z Wang, C Li, PX Liu - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
Driver fatigue monitoring is very important for driving safety, and many intricate factors while
driving make fatigue monitoring harder. To effectively predict driving fatigue, this article …
driving make fatigue monitoring harder. To effectively predict driving fatigue, this article …
Solving fuzzy relational equations via semitensor product
D Cheng, J Feng, H Lv - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
The problem of solving max-min fuzzy relational equations is investigated. First, we show
that if there is a solution, then there is a corresponding solution within the set of parameters …
that if there is a solution, then there is a corresponding solution within the set of parameters …
On the suitability of the Bandler–Kohout subproduct as an inference mechanism
M Stepnicka, B Jayaram - IEEE Transactions on Fuzzy Systems, 2010 - ieeexplore.ieee.org
Fuzzy relational inference (FRI) systems form an important part of approximate reasoning
schemes using fuzzy sets. The compositional rule of inference (CRI), which was introduced …
schemes using fuzzy sets. The compositional rule of inference (CRI), which was introduced …
Finitary solvability conditions for systems of fuzzy relation equations
I Perfilieva - Information Sciences, 2013 - Elsevier
In this paper, we consider the problem of solving systems of fuzzy relation equations. Two
types of these systems with different compositions are considered and processed …
types of these systems with different compositions are considered and processed …
Implication-based models of monotone fuzzy rule bases
M Štěpnička, B De Baets - Fuzzy Sets and Systems, 2013 - Elsevier
In many modelling problems, there is some inherent monotone relationship between one or
more of the input variables and the output variable. We consider the prototypical case of an …
more of the input variables and the output variable. We consider the prototypical case of an …
Extensions of fuzzy relational compositions based on generalized quantifiers
N Cao, M Holčapek, M Štěpnička - Fuzzy Sets and Systems, 2018 - Elsevier
The aim of this paper is to extend the fuzzy relational compositions motivated by their
applications to medical diagnosis problem by Bandler and Kohout. These compositions …
applications to medical diagnosis problem by Bandler and Kohout. These compositions …
Necessary and sufficient conditions for generalized uniform fuzzy partitions
The fundamental concept in the theory of fuzzy transform (F-transform) is the fuzzy partition,
which is a generalization of the classical concept of partition. The original definition assumes …
which is a generalization of the classical concept of partition. The original definition assumes …
SISO fuzzy relational inference systems based on fuzzy implications are universal approximators
In this work, we show that single input single output (SISO) fuzzy inference systems based
on Fuzzy Relational Inference (FRI) with implicative interpretation of the rule base are …
on Fuzzy Relational Inference (FRI) with implicative interpretation of the rule base are …
Fuzzy relational compositions based on generalized quantifiers
M Štěpnička, M Holčapek - … on Information Processing and Management of …, 2014 - Springer
Fuzzy relational compositions have been extensively studied by many authors. Especially,
we would like to highlight initial studies of the fuzzy relational compositions motivated by …
we would like to highlight initial studies of the fuzzy relational compositions motivated by …
Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables
M Štěpnička, B Jayaram - Fuzzy Sets and Systems, 2016 - Elsevier
Of the many desirable properties of fuzzy inference systems, not all are known to co-exist.
For instance, a fuzzy inference system should be interpolative, ie, if a fuzzy set equivalent to …
For instance, a fuzzy inference system should be interpolative, ie, if a fuzzy set equivalent to …