A new correlation coefficient of BPA based on generalized information quality

2021 ◽  
Author(s):  
Hao Liang ◽  
Rui Cai
Keyword(s):  
Correlation Coefficient ◽  
Information Quality ◽  
New Correlation ◽  
Generalized Information

scholarly journals A Multi-Attribute Pearson’s Picture Fuzzy Correlation-Based Decision-Making Method

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 999 ◽  
Author(s):  
Jin ◽  
Wu ◽  
Sun ◽  
Zeng ◽  
Luo ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Correlation Coefficient ◽  
Ideal Point ◽  
New Correlation ◽  
Fuzzy Correlation ◽  
Relative Proximity ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making ◽  
Picture Fuzzy Sets

As a generalization of several fuzzy tools, picture fuzzy sets (PFSs) hold a special ability to perfectly portray inherent uncertain and vague decision preferences. The intention of this paper is to present a Pearson’s picture fuzzy correlation-based model for multi-attribute decision-making (MADM) analysis. To this end, we develop a new correlation coefficient for picture fuzzy sets, based on which a Pearson’s picture fuzzy closeness index is introduced to simultaneously calculate the relative proximity to the positive ideal point and the relative distance from the negative ideal point. On the basis of the presented concepts, a Pearson’s correlation-based model is further presented to address picture fuzzy MADM problems. Finally, an illustrative example is provided to examine the usefulness and feasibility of the proposed methodology.

Predicting the Productivity Enhancement After Applying Acid Fracturing Treatments in Naturally Fractured Reservoirs Utilizing Artificial Neural Network

2021 ◽  
Author(s):  
Amjed Mohamed Hassan ◽  
Murtada Saleh Aljawad ◽  
Mohamed Ahmed Mahmoud
Keyword(s):  
Neural Network ◽  
Correlation Coefficient ◽  
Fractured Reservoirs ◽  
Naturally Fractured Reservoirs ◽  
Percentage Error ◽  
Reservoir Properties ◽  
Productivity Improvement ◽  
Acid Fracturing ◽  
New Correlation ◽  
Naturally Fractured

Abstract Acid fracturing treatments are conducted to increase the productivity of naturally fractured reservoirs. The treatment performance depends on several parameters such as reservoir properties and treatment conditions. Different approaches are available to estimate the efficacy of acid fracturing stimulations. However, a limited number of models were developed considering the presence of natural fractures (NFs) in the hydrocarbon reservoirs. This work aims to develop an efficient model to estimate the effectiveness of acid fracturing treatment in naturally fractured reservoirs utilizing an artificial neural network (ANN) technique. In this study, the improvement in hydrocarbon productivity due to applying acid fracturing treatment is estimated, and the interactions between the natural fractures and the induced ones are considered. More than 3000 scenarios of reservoir properties and treatment parameters were used to build and validate the ANN model. The developed model considers reservoir and treatment parameters such as formation permeability, injection rate, natural fracture spacing, and treatment volume. Furthermore, percentage error and correlation coefficient were determined to assess the model prediction performance. The proposed model shows very effective performance in predicting the performance of acid fracturing treatments. A percentage error of 6.3 % and a correlation coefficient of 0.94 were obtained for the testing datasets. Furthermore, a new correlation was developed based on the optimized AI model. The developed correlation provides an accurate and quick prediction for productivity improvement. Validation data were used to evaluate the reliability of the new equation, where a 6.8% average absolute error and 0.93 correlation coefficient were achieved, indicating the high reliability of the proposed correlation. The novelty of this work is developing a robust and reliable model for predicting the productivity improvement for acid fracturing treatment in naturally fractured reservoirs. The new correlation can be utilized in improving the treatment design for naturally fractured reservoirs by providing quick and reliable estimations.

A COPULA-BASED CORRELATION MEASURE AND ITS APPLICATION IN CHINESE STOCK MARKET

2009 ◽  
Vol 08 (04) ◽  
pp. 787-801 ◽  
Author(s):  
FENGHUA WEN ◽  
ZHIFENG LIU
Keyword(s):  
Theoretical Analysis ◽  
Empirical Study ◽  
Correlation Coefficient ◽  
Geometric Analysis ◽  
Copula Function ◽  
Chinese Stock Market ◽  
Correlation Measure ◽  
Gini Correlation ◽  
New Correlation ◽  
Derivation Method

In this paper, a copula-based correlation measure is proposed to test the interdependence among stochastic variables in terms of copula function. Based on a geometric analysis of copula function, a new derivation method is introduced to derive the Gini correlation coefficient. Meantime theoretical analysis finds that the Gini correlation coefficient tends to overestimate the tail interdependence in the case of stochastic variables clustering at the tails. For this overestimation issue, a fully new correlation coefficient called Co is developed and extended to measure the tail interdependence. Empirical study shows that the new correlation coefficient Co can effectively solve the overestimation issue, which implies that the proposed new correlation coefficient is more suitable to describe the interdependence among stochastic variables than the Gini correlation coefficient.

On the power of Chatterjee’s rank correlation

Biometrika ◽  
2021 ◽  
Author(s):  
H Shi ◽  
M Drton ◽  
F Han
Keyword(s):  
Correlation Coefficient ◽  
Computational Efficiency ◽  
Random Variables ◽  
Rank Correlation ◽  
Asymptotically Normal ◽  
Local Rotation ◽  
New Correlation ◽  
Testing Independence ◽  
Recent Attention ◽  
Tests Of Independence

Abstract Chatterjee (2021+) introduced a simple new rank correlation coefficient that has attracted much recent attention. The coefficient has the unusual appeal that it not only estimates a population quantity first proposed by Dette et al. (2013) that is zero if and only if the underlying pair of random variables is independent, but also is asymptotically normal under independence. This paper compares Chatterjee’s new correlation coefficient to three established rank correlations that also facilitate consistent tests of independence, namely, Hoeffding’s D, Blum–Kiefer– Rosenblatt’s R, and Bergsma–Dassios–Yanagimoto’s τ *. We contrast their computational efficiency in light of recent advances, and investigate their power against local rotation and mixture alternatives. Our main results show that Chatterjee’s coefficient is unfortunately rate sub-optimal compared to D, R, and τ *. The situation is more subtle for a related earlier estimator of Dette et al. (2013). These results favor D, R, and τ * over Chatterjee’s new correlation coefficient for the purpose of testing independence.

scholarly journals THE RELATIONSHIP OF ENTREPRENEURIAL SOUL AND INTRODUCTION OF INFORMATION TECHNOLOGY TO UNDERSTANDING OF ACCOUNTING INFORMATION QUALITY

2020 ◽  
Vol 22 (1) ◽  
pp. 25-34
Author(s):  
MF DJENI INDRAJATI WIDJAJA ◽  
ELIZABETH SUGIARTO DERMAWAN
Keyword(s):  
Information Technology ◽  
Correlation Coefficient ◽  
Information Quality ◽  
Accounting Information ◽  
Accounting Students ◽  
Significant Information ◽  
Quality Of Accounting Information ◽  
Accounting Information Quality ◽  
Relationship Of

This research was conducted to illustrate the readiness of S1 Accounting students in entrepreneurship and their readiness to compete through familiar information technology that can relate to their understanding of the quality of accounting information that is ultimately needed for decision making and accountability. The results of this study indicate the link between the Entrepreneurial Soul and the introduction of positive and significant information technology to the quality of accounting information. By looking at the correlation coefficient, Entrepreneurial Soul has a higher correlation coefficient on understanding Accounting Information Quality than Introduction to Information Technology on understanding Accounting Information Quality. Therefore, in order to increase understanding of the Quality of Accounting Information, it is necessary to improve the Entrepreneurial Soul and Introduction of Information Technology.          

Sign in / Sign up

Export Citation Format

Share Document