Results 11 to 20 of about 77,667 (184)

Weakly fuzzy topological entropy [PDF]

open access: yesMathematica Bohemica, 2022
In 2005, İ. Tok fuzzified the notion of the topological entropy R. A. Adler et al. (1965) using the notion of fuzzy compactness of C. L. Chang (1968).
B M Uzzal Afsan
doaj   +3 more sources

Quantitative estimation of chemical microheterogeneity through the determination of fuzzy entropy [PDF]

open access: yesFrontiers in Chemistry, 2022
Chemical micro-heterogeneity is an attribute of all living systems and most of the soft and crystalline materials. Its characterization requires a plethora of techniques.
Pier Luigi Gentili   +2 more
doaj   +2 more sources

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing [PDF]

open access: yesEntropy, 2023
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Qiang Yuan   +5 more
doaj   +2 more sources

Centered and Averaged Fuzzy Entropy to Improve Fuzzy Entropy Precision. [PDF]

open access: yesEntropy (Basel), 2018
Several entropy measures are now widely used to analyze real-world time series. Among them, we can cite approximate entropy, sample entropy and fuzzy entropy (FuzzyEn), the latter one being probably the most efficient among the three. However, FuzzyEn precision depends on the number of samples in the data under study.
Girault JM, Humeau-Heurtier A.
europepmc   +5 more sources

The Group Decision-Making Using Pythagorean Fuzzy Entropy and the Complex Proportional Assessment [PDF]

open access: yesSensors, 2022
The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, especially in problems involving multiple and opposing criteria.
Parul Thakur   +5 more
doaj   +2 more sources

Fuzzy Entropy-Based Spatial Hotspot Reliability. [PDF]

open access: yesEntropy (Basel), 2021
Cluster techniques are used in hotspot spatial analysis to detect hotspots as areas on the map; an extension of the Fuzzy C-means that the clustering algorithm has been applied to locate hotspots on the map as circular areas; it represents a good trade-off between the accuracy in the detection of the hotspot shape and the computational complexity ...
Di Martino F, Sessa S.
europepmc   +6 more sources

Picture fuzzy cross-entropy for multiple attribute decision making problems

open access: yesJournal of Business Economics and Management, 2016
In this paper, we investigate the multiple attribute decision making problems with picture fuzzy information. The advantage of picture fuzzy set is easily reflecting the ambiguous nature of subjective judgments because the picture fuzzy sets are suitable
Guiwu Wei
doaj   +3 more sources

Entropy of Fuzzy Partitions and Entropy of Fuzzy Dynamical Systems [PDF]

open access: yesEntropy, 2016
In the paper we define three kinds of entropy of a fuzzy dynamical system using different entropies of fuzzy partitions. It is shown that different definitions of the entropy of fuzzy partitions lead to different notions of entropies of fuzzy dynamical ...
Dagmar Markechová, Beloslav Riečan
doaj   +2 more sources

Fractional Refined Composite Multiscale Fuzzy Entropy of International Stock Indices [PDF]

open access: yesEntropy, 2019
Fractional refined composite multiscale fuzzy entropy (FRCMFE), which aims to relieve the large fluctuation of fuzzy entropy (FuzzyEn) measure and significantly discriminate different short-term financial time series with noise, is proposed to quantify ...
Zhiyong Wu, Wei Zhang
doaj   +2 more sources

Tsallis Entropy of Fuzzy Dynamical Systems [PDF]

open access: yesMathematics, 2018
This article deals with the mathematical modeling of Tsallis entropy in fuzzy dynamical systems. At first, the concepts of Tsallis entropy and Tsallis conditional entropy of order q , where q is a positive real number not equal to 1, of ...
Dagmar Markechová
doaj   +2 more sources

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