An approach to quality assessment for web service selection based on the analytic hierarchy process for cases of incomplete information

2015 ◽  
Vol 58 (12) ◽  
pp. 1-14
Author(s):  
Cong Gao ◽  
JianFeng Ma ◽  
ZhiQuan Liu ◽  
XinDi Ma
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Assessment ◽  
Incomplete Information ◽  
Web Service ◽  
Service Selection ◽  
Analytic Hierarchy ◽  
Web Service Selection ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The Application Research in the Evaluation of Sports Teaching Quality Based on the Analytic Hierarchy Process

2012 ◽  
Vol 155-156 ◽  
pp. 143-147
Author(s):  
Xian Feng Wang ◽  
Xiang Qi Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Assessment ◽  
Evaluation Method ◽  
Weight Coefficient ◽  
Teaching Quality ◽  
Analytic Hierarchy ◽  
School Sports ◽  
The Analytic Hierarchy Process ◽  
The Mathematical Model ◽  
Hierarchy Process

The sports teaching quality assessment is a regular schools of higher learning education evaluation of a part, is promoting sports course building and improve the quality of education is an important measures. The current stage of evaluation method is uneven, so need to build a simple and effective, scientific and reasonable evaluation methods to measure the school sports teaching quality. The article to the analytic hierarchy process in the sports teaching the application of quality evaluation carried on the preliminary discussion, put forward the sports teaching quality hierarchical system, and establish the teaching quality assessment of the mathematical model, through the weight coefficient of each index system, more scientific and objective to evaluate teaching quality, easy operation, which is of great use value.

Index of suicide risk in Mexico using Twitter

2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye
Keyword(s):  
Social Networks ◽  
Analytic Hierarchy Process ◽  
Suicide Risk ◽  
Opinion Mining ◽  
Real Data ◽  
Analytic Hierarchy ◽  
Specialized Care ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.

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