Results 261 to 270 of about 10,871,740 (304)

Entropy measure for orderable sets

Information Sciences, 2021
How to measure the uncertainty of orderable sets is still an open issue. In this paper, a new method based on Deng entropy to measure the uncertainty of orderable sets is proposed. When orderable sets degenerate as unorderable sets, the new entropy would
Jinyan Su, Yong Deng
semanticscholar   +1 more source

A novel pythagorean fuzzy entropy measure using MCDM application in preference of the advertising company with TOPSIS approach

, 2021
The various extensions of the fuzzy set are considerably applied in many complex problems of real world to describes the improper information. The PFS (pythagorean fuzzy set) which is the expanded form of IFS (intuitionistic fuzzy set) is more applicable
Ravinder Kumar, N. Gandotra, Suman
semanticscholar   +1 more source

Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis

IEEE transactions on fuzzy systems, 2022
Entropy is a powerful tool for nonlinear analysis of time series. We have recently introduced dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety of settings in data analysis.
M. Rostaghi, M. M. Khatibi, M. Ashory, H. Azami   +3 more
semanticscholar   +1 more source

Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery

IEEE Transactions on Industrial Informatics, 2021
In this article, a fault diagnosis scheme based on multiscale diversity entropy (MDE) and extreme learning machine (ELM) is presented. First, a novel entropy method called diversity entropy (DE) is proposed to quantify the dynamical complexity.
Xian-Zhi Wang, Shu-Bin Si, Yong-Bo Li
semanticscholar   +1 more source

Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump

Applied Acoustics, 2020
This work contributes towards the development of a new approach of automatic identification of defects present in the bearing of a centrifugal pump using symmetric single valued neutrosophic cross entropy (SVNCE) of Variational Mode Decomposition (VMD ...
Anil Kumar, C. Gandhi, Yu-Qing Zhou, Rajesh Kumar, Jia-Wei Xiang   +4 more
semanticscholar   +1 more source

Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series

IEEE Transactions on Instrumentation and Measurement
Entropy has long been a subject that has attracted researchers from a diverse range of fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently been proposed as a new approach to address the shortcomings of permutation ...
Yu-Xing Li, Ge Tian, Yuan Cao, Ying-Min Yi, Dingsong Zhou   +4 more
semanticscholar   +1 more source

Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy

Information Fusion, 2019
Multi-sensor data fusion technology plays an important role in real applications. Because of the flexibility and effectiveness in modeling and processing the uncertain information regardless of prior probabilities, Dempster–Shafer evidence theory is ...
Fu-Yuan Xiao
semanticscholar   +1 more source

Phase entropy: a new complexity measure for heart rate variability

Physiological Measurement, 2019
Objective: Information entropy is generally employed for analysing the complexity of physiological signals. However, most definitions of entropy estimate the degree of compressibility and thus quantify the randomness.
Ashish Rohila, Ambalika Sharma
semanticscholar   +1 more source

How suitable is entropy as a measure of urban sprawl?

Landscape and Urban Planning, 2019
Urban sprawl has found widespread attention among scholars, planners, and policy makers. It has been defined and measured in various ways, and there is still no general agreement on how to measure and control urban sprawl and how to prevent its many ...
N. Nazarnia, Christopher Harding, Jochen A. G. Jaeger   +2 more
semanticscholar   +1 more source

An overlap invariant entropy measure of 3D medical image alignment

Pattern Recognition, 1999
C. Studholme, D. Hill, D. Hawkes
semanticscholar   +1 more source