Results 161 to 170 of about 882 (207)

Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in Finite-Frequency Domain against DoS Attacks. [PDF]

Sensors (Basel)
Ma B, Lu Q, Gu Z.
europepmc   +1 more source

Design of global climate control based on fuzzy systems with concept of carbon emissions. [PDF]

PLoS One
Naseer S, Chang WJ, Aslam MS, Hashim Bukhari M, Bilal H, Nawaz MJ.   +5 more
europepmc   +1 more source

Fractional-order PID control for elevation and azimuth in a twin rotor system. [PDF]

Sci Rep
Wendimu AA, Matušů R, Shaikh I, Kebede ZK.   +3 more
europepmc   +1 more source

Research on Adaptive Variable Impedance Control Method Based on Adaptive Neuro-Fuzzy Inference System. [PDF]

Sensors (Basel)
Wang X, Li C, Cai D, Cui Y.
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A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification. [PDF]

Sci Rep
Kumar S, Sharma YK, Kumar M, Lilhore UK, Aldossary SMA, Simaiya S, Khan MM, Hussien SA, Ghith ES.   +8 more
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Slow drift aware dynamic risk assessment in cyber physical systems using quantum neutrosophic fuzzy modelling. [PDF]

Sci Rep
Kiruthika K, Rajesh A, Dhapekar NK, Dubey TK.   +3 more
europepmc   +1 more source

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On Monotonicity of the Interval Sugeno Integral

IEEE Transactions on Fuzzy Systems, 2021
A monotonicity of Interval Sugeno Integrals proposed in “X. Pu, R. Mesiar, R. R. Yager, L. Jin, Interval Sugeno integral with preference,” IEEE Trans . Fuzzy Syst. vol. 28, pp. 597–601, 2020 has been found incorrect with a counter example. This letter presents the counter example and analyzes the reason that causes such nonmonotonicity.
Michał Boczek, Lesheng Jin, Radko Mesiar   +2 more
exaly   +2 more sources

Interval Sugeno Integral With Preference

IEEE Transactions on Fuzzy Systems, 2020
Sugeno Integral is based on Fuzzy Integral Inference and widely used in applications such as decision making and computational intelligence. When concerned inputs are intervals, directly using Sugeno Integral to respectively aggregate the lower bounds and upper bounds of those intervals has limitations and does not embody fuzzy integral inference. This
Xingting Pu, Radko Mesiar, Ronald R Yager   +2 more
exaly   +2 more sources

Level-Dependent Sugeno Integral

IEEE Transactions on Fuzzy Systems, 2009
In this paper, a new concept of level-dependent Sugeno integral is introduced, and it is used to represent comonotone maxitive aggregation functions acting on a complete scale K. The relationship between the level-dependent Sugeno integral and some other types of fuzzy integrals is shown, and properties of the level-dependent Sugeno integral are ...
Radko Mesiar, Andrea Mesiarová-Zemánková, Khurshid Ahmad   +2 more
exaly   +2 more sources

On the comonotonic-★-property for Sugeno integral

Applied Mathematics and Computation, 2009
The paper deals mainly with the Sugeno integral possessing the comonotonic \(*\) property; this property is defined as follows: with \(*: [0,\infty]^2\to[0, \infty]\) a binary operation, a Sugeno integral is said to possess the comonotonic \(*\) property if \((s)\int_Af*g\,d\mu= (s)\int_Af\,d \mu*(s)\int_Ag\,d\mu\) holds for any fuzzy measure space ...
Yao Ouyang, Radko Mesiar
exaly   +3 more sources