Research on Commercial Real Estate Investment Risk Evaluation Based on the Analytic Hierarchy Process

ICCREM 2014 ◽  
2014 ◽  
Author(s):  
Qunhong Liu ◽  
Min Li ◽  
Puping Zhong
Keyword(s):  
Real Estate ◽  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Commercial Real Estate ◽  
Investment Risk ◽  
Real Estate Investment ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Navigational Environmental Risk Evaluation of Breakwater Based on the Analytic Hierarchy Process

2013 ◽  
Vol 779-780 ◽  
pp. 1648-1653
Author(s):  
Chun Hui Chen ◽  
Zhan Li Jiao ◽  
Fu Cai Jiang
Keyword(s):  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Risk Indicators ◽  
Engineering Project ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
The Analytic Hierarchy Process ◽  
The Impact ◽  
Hierarchy Process ◽  
Navigation Safety

This paper introduces the analytic hierarchy process, and applies in the process of engineering project risk evaluation of navigational environment safety. This paper takes the breakwater project of a harbor as an example for analysis, through the recognition of each risk source and risk factor that the project influences on navigation safety to determine the risk indicators, and uses analytic hierarchy process to analyze the impact of various risk factors on navigation safety, thus gains the overall influence of project on navigation safety. This can be used as an auxiliary tool of engineering risk management.

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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