IMPROVING USERS SATISFACTION BY IMPLEMENTING THE ANALYTIC HIERARCHY PROCESS IN THE PUBLIC TRANSPORTATION SYSTEM

2020 ◽  
Vol 19 (6) ◽  
pp. 957-968
Author(s):  
Ruxandra Dinulescu ◽  
Alexandru-Mihai Bugheanu
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Song Ye ◽  
Ying Chen ◽  
Guangao Mao

The evaluation of value for money (VFM) is an essential part of the pre-evaluation of public-private partnership (PPP) projects in China. It can be divided into qualitative evaluation and quantitative evaluation. However, there is no uniform weighting criterion for the indices of qualitative evaluation. To reasonably weigh the qualitative evaluation indices, this paper sorts and measures these indices through the analytic hierarchy process (AHP), using the public data on preapplied PPP aged care projects, and obtains the reference values. On this basis, several suggestions were put forward to standardize and develop VFM evaluation of PPP aged care projects, such as improve the scientific VFM evaluation system and realize whole-process performance appraisal. Based on actual project data, the qualitative evaluation is more objective than the analysis based on subjective experience. Therefore, our findings promote the application of VFM qualitative evaluation.


2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye

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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