The Research on the EC Individual Credibility Based on Linear Discriminant Analytic Hierarchy Process

Discriminant Function ◽

Simulation Test ◽

Analytic Hierarchy ◽

Linear Discriminant ◽

Hierarchy Process

The paper gives the linear discriminant function (LDF) based on the theory of linear discriminant analysis (LDA) combined with computing weights of the different indicators by analytic hierarchy process (AHP) to predict a new e-commerce customer’s individual credibility level and analyzes the result of a simulation test to justify the theory in this research.

THE CONSTRUCTION OF THE LINEAR DISCRIMINANT ANALYSIS FUNCTION AND ITS EVALUATION TO DETERMINE EXTREME METEOROLOGICAL PHENOMENA (ICE DEPOSITS) IN UKRAINE

Hydrology, hydrochemistry and hydroecology ◽

10.17721/2306-5680.2020.1.9 ◽

2020 ◽

pp. 82-94

Author(s):

S.I. Pyasetska ◽

N.P. Grebenyuk ◽

S.V Savchuk

Keyword(s):

Discriminant Analysis ◽

Discriminant Function ◽

Winter Season ◽

Correlation Coefficients ◽

Average Wind Speed ◽

Linear Discriminant ◽

Average Wind ◽

Actual Formation

o predict the possibility of ice deposits on the territory of Ukraine in the winter season, an analogous approach is proposed using the construction of the equations of the linear discriminant function. For this, the correlation coefficients between 13 meteorological values (per day) at the start dates of ice deposits at all stations of Ukraine were calculated. Significant correlation coefficients were determined between individual meteorological variables, such as average air temperature, maximum, minimum average air humidity, average wind speed, and atmospheric pressure at sea level. It is these quantities that were used to construct the equations of the linear discriminant function and for the dates of the actual formation of ice deposits and the further forecast of its formation from a three-day lead time. As a result of the calculations for the winter season of 2001-2013 an equation of the linear discriminant function was obtained for the dates of the actual formation of ice deposits and a sufficiently high justification was obtained. Also, to predict the possible formation of ice deposits with a three-day lead time, a prognostic function of linear discriminant analysis was obtained to determine possible such deposits for the winter season of 2001-2010. On the example of the regional centers, a satisfactory assessment of the justification on an independent material for the winter season of 2011-2016 was obtained. Thus, in constructing linear discriminant functions to determine the possibility of such an adverse event as ice deposition, a number of conclusions were obtained: – The sufficiently high validity of the discriminant functions of extreme meteorological phenomena (ice deposits) for the winter season 2001-2013 was obtained. It ranges from 91 % (for the data set at selected dates with ice deposits) up to 90% (for an array of data at the date of extreme cold ). – A sufficiently high estimate of the validity of the independent material for the winter season 2014-2016 was obtained. It is up to 78 % (for an array of data on extreme cold dates and from 90 % ( for an array of data on selected dates with ice deposits) . – The prognostic function of linear discriminant analysis was obtained to determine possible (with 3-day timeliness) extreme meteorological phenomena (ice) during the winter season 2001-2010, using only meteorological values with statistically significant correlation, namely, the maximum air temperature; average humidity; and average wind speed. – Sufficiently significant and satisfactory validity of the prognostic functions of possible (with 3-day timeliness) extreme meteorological phenomena (ice deposits) for the winter season 2001-2010 was obtained.

ESTIMATING THE PROBABILITY OF MISCLASSIFICATIONS IN TWO-GROUPS DISCRIMINANT ANALYSIS

Journal of Mathematics and Its Applications ◽

10.29244/jmap.3.1.1-10 ◽

2004 ◽

Vol 3 (1) ◽

pp. 1

Author(s):

I W. MANGKU

Keyword(s):

Discriminant Analysis ◽

Discriminant Function ◽

Comparative Studies ◽

Classification Rule ◽

Survey Study ◽

Linear Discriminant ◽

Empirical Estimators

This paper is a survey study on estimation of the pro- bability of misclassiﬁcations in two-groups discriminant analysis using the linear discriminant function as the classiﬁcation rule. Here we consider two groups of estimators, namely parametric esti- mators and empirical estimators. The results of some comparative studies on the performances of the considered estimators are also discussed.

Comprehensive Grounding Performance Evaluation of Tires Based on the Analytic Hierarchy Process

Tire Science and Technology ◽

10.2346/tire.21.21007 ◽

2021 ◽

Author(s):

Chen Liang ◽

Hao Liu ◽

Daqian Zhu ◽

Guolin Wang

Keyword(s):

Performance Evaluation ◽

Correlation Analysis ◽

Analytic Hierarchy Process ◽

Ground Contact ◽

Simulation Test ◽

Analytic Hierarchy ◽

Ahp Model ◽

Contact Patch ◽

Judgment Matrix ◽

Hierarchy Process

ABSTRACT The contact patch between tire and road surface has a direct impact on tire grounding performance. Acquiring tire grounding performance either by testing or simulation is not only time intensive but comes at a high cost. This paper proposes an effective means of evaluating tire grounding performance based on the tire-ground contact pressure distribution. This paper adopts fifteen characteristics to describe the tire-ground contact patch in which twelve structural schemes were designed for a certain type of tire. By using the simulation test method, the grounding performance characteristics such as grip performance, rolling resistance, wear performance, and the tire footprint characteristics were obtained. Correlation analysis was used to explore the relationship between tire grounding performance and footprint characteristics. Based on the correlation analysis and expert judgement, the analytic hierarchy process (AHP) model for comprehensive grounding performance evaluation of a tire was constructed. Then judgment matrix of the AHP model was established, and the consistency or otherwise of the judgment matrix was verified. The model was then used to evaluate and predict the four design schemes of tires. The evaluation results were in good agreement with the simulation test results, which shows that the construction method of the tire comprehensive grounding performance evaluation system proposed in this paper is practical. It is also evident that grounding performance evaluation of a tire based on the tire footprint is feasible.

A Note on Huberty and Wisenbaker’s “Views of Variable Importance”

Journal of Educational and Behavioral Statistics ◽

10.3102/10769986022003309 ◽

1997 ◽

Vol 22 (3) ◽

pp. 309-322 ◽

Cited By ~ 3

Author(s):

D. Roland Thomas

Keyword(s):

Discriminant Analysis ◽

Discriminant Function ◽

Operational Definition ◽

Variable Importance ◽

Linear Discriminant ◽

Additional Information ◽

Definition Of

This article investigates criteria for assessing variable importance in MANOVA and descriptive discriminant analysis. Two criteria suggested by Huberty and Wisenbaker (1992) are examined, namely, (a) contribution to linear discriminant function scores and (b) contribution to grouping variable effects. Thomas and Zumbo (1996) have shown that the first criterion can be operationalized using discriminant ratio coefficients (DRCs). It is shown in this article that DRCs also provide an operational definition of grouping variable effects. Thus, it is proposed that the two criteria be amalgamated and called the contribution to grouping effects and discriminant scores. The F-to-remove indexes used by Huberty and Wisenbaker can then be regarded as operational definitions of a separate criterion, namely, the amount of additional information contributed to group discrimination.

CHEMOMETRIC-BASED ELECTRONIC NOSE APPLICATION TO PORK OIL AND OLIVE OIL USING THE ODOR PATTERN CLASSIFICATIONS

JURNAL NEUTRINO ◽

10.18860/neu.v10i2.4951 ◽

2018 ◽

Vol 10 (2) ◽

pp. 55

Author(s):

Imam Tazi ◽

Muthmainnah Muthmainnah ◽

Suyono Suyono ◽

Avin Ainur

Keyword(s):

Discriminant Analysis ◽

Olive Oil ◽

Pattern Classification ◽

Discriminant Function ◽

Electronic Nose ◽

Chemical Sensors ◽

Data Retrieval ◽

Output Data ◽

Linear Discriminant

<p class="abstrak">A chemometric-based electronic nose has designed for analyzing pork oil and olive oil using the odor pattern classifications. The electronic nose (e-nose) built from a combination of several chemical sensors derived from a semiconductor. The data retrieval was done by vaporizing the sample, then being captured by the sensor and identified by the electronic nose (e-nose). The output data from the electronic nose is the voltage released by each sensor. The analyzed samples were 100% olive oil, 100% pork oil and a combination of olive oil and pork oil with a ratio of 50%: 50%. The result of pattern classification using linear discriminant analysis (LDA) method shows that each sample is clustered well with the percentage of first discriminant function value is 87,9% and second discriminant function is 12,1%.</p>

Return-to-Work Screening by Linear Discriminant Analysis of Heart Rate Variability Indices in Depressed Subjects

Sensors ◽

10.3390/s21155177 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5177

Author(s):

Toshikazu Shinba ◽

Keizo Murotsu ◽

Yosuke Usui ◽

Yoshinori Andow ◽

Hiroshi Terada ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Discriminant Analysis ◽

Return To Work ◽

Discriminant Function ◽

Low Frequency ◽

Linear Discriminant ◽

Frequency Components ◽

Returning To Work

Using a linear discriminant analysis of heart rate variability (HRV) indices, the present study sought to verify the usefulness of autonomic measurement in major depressive disorder (MDD) patients by assessing the feasibility of their return to work after sick leave. When reinstatement was scheduled, patients’ HRV was measured using a wearable electrocardiogram device. The outcome of the reinstatement was evaluated at one month after returning to work. HRV indices including high- and low-frequency components were calculated in three conditions within a session: initial rest, mental task, and rest after task. A linear discriminant function was made using the HRV indices of 30 MDD patients from our previous study to effectively discriminate the successful reinstatement from the unsuccessful reinstatement; this was then tested on 52 patients who participated in the present study. The discriminant function showed that the sensitivity and specificity in discriminating successful from unsuccessful returns were 95.8% and 35.7%, respectively. Sensitivity is high, indicating that normal HRV is required for a successful return, and that the discriminant analysis of HRV indices is useful for return-to-work screening in MDD patients. On the other hand, specificity is low, suggesting that other factors may also affect the outcome of reinstatement.