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Fermatean fuzzy multi-criteria decision-making based on Spearman rank correlation coefficient
Real-world decision-making challenges tend to evolve into more intricate scenarios over time. In this context, the Fermatean fuzzy set emerges as an...
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Effective Estimation of Relationship Strength Among Facebook Users Applying Pearson Correlation and Jaccard’s Coefficient
Numerous ways have been established till the present to identify tie strength among users on online social media. Although calculating relationship...
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Correlation
By ‘correlation’, this book primarily refers to temporal correlation. This chapter defines the auto- and cross-correlation functions and presents...
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A New Method for Denoising Underwater Acoustic Signals Based on EEMD, Correlation Coefficient, Permutation Entropy, and Wavelet Threshold Denoising
The complexities of the marine environment and the unique characteristics of underwater channels pose challenges in obtaining reliable signals...
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Correlation and Regression
In technical reliability analysis, many studies focus on the dependence or correlation of various function- or safety–critical characteristics on...
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An improved collaborative filtering model based on time weighted correlation coefficient and inter-cluster separation
The recommendation system is a good choice to provide users with personalized services. Facing with a large amount of data, clustering technology can...
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Novel Fuzzy Correlation Coefficient and Variable Selection Method for Fuzzy Regression Analysis Based on Distance Approach
In data analysis, analyzing the relationships between the variables such as correlation analysis and regression analysis are very important....
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Improved fuzzy evidential DEMATEL method based on two-dimensional correlation coefficient and negation evidence
The Decision-making Trial and Evaluation Laboratory (DEMATEL) has widespread application in many fields as a system analysis method to explain the...
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A Synthetic Data Generation Approach Using Correlation Coefficient and Neural Networks
Modern day machine learning models relies on huge amount of sample data to feed them, in order to give robust performance. Many studies have been...
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Estimation of Hydrological Correlation Coefficient to Predict Annual Precipitation Variables for Groundwater Restoration in Rafsanjan Plain
The decrease in rainfall as one of the most important climatic factors has caused a drop in the underground water level in arid and semi-arid...
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Pythagorean fuzzy multi-criteria decision-making approach based on Spearman rank correlation coefficient
Due to the complexity of objective world, as well as the ambiguity of human thinking, the practical decision-making issues become more and more...
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Correlation Between Ground Motion Parameters and Structural Response of Reinforced Concrete Buildings
The present study investigates the correlation between several seismic parameters and structural responses of reinforced concrete buildings. A large...
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Correlation Analysis of Cognitive Regions in Automated Anatomical Labeling Atlas Using LSTM
The main objective of our work in this paper is to infer musicianship of 36 participants (18 musicians and 18 non-musicians) who are continuously...
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Distance correlation entropy and ordinal distance complexity measure: efficient tools for complex systems
Many distance measures are used to quantify the relationship between components in complex systems, such as the commonly used Euclidean distance and...
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Estimation of Regional Design Runoff Coefficient in the Rational Method
The rational method is commonly used to estimate the design floods in catchments. An accurate estimation of surface runoff and the related design...
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Early Warning Method of Energy-Consuming Industry Chain Risk Based on Autoregressive Sliding Average Model and Correlation Analysis
With the increasing penetration of renewable energy sources (RES) in energy systems, the relationship between energy supply and demand shows the...
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A Method for Fault Detection in Wireless Sensor Network Based on Pearson’s Correlation Coefficient and Support Vector Machine Classification
Sensor nodes are tiny low-cost devices prone to various faults. So, it is imperative to detect those faults. This paper presents a sensor measurement...
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Predicting the coefficient of friction in a sliding contact by applying machine learning to acoustic emission data
It is increasingly important to monitor sliding interfaces within machines, since this is where both energy is lost, and failures occur. Acoustic...
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Clustering of different dimensional variables based on distance correlation coefficient
In order to solve the problem that the clustering time of different dimensions is too long in the traditional method, a clustering method of...
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Semi-supervised filter feature selection based on natural Laplacian score and maximal information coefficient
As a crucial preprocessing step in data mining, feature selection aims to obtain an excellent feature set, so as to improve the accuracy of...
