A nonlinear program model to obtain consensus priority vector in the analytic hierarchy process

2008 ◽  
Author(s):  
Weijun Xu ◽  
Yucheng Dong ◽  
Weilin Xiao ◽  
Jinhong Xu
Keyword(s):  
Analytic Hierarchy Process ◽  
Nonlinear Program ◽  
Program Model ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

JUDGMENT NUMBER REDUCTION: AN ISSUE IN THE ANALYTIC HIERARCHY PROCESS

2010 ◽  
Vol 09 (01) ◽  
pp. 175-189 ◽  
Author(s):  
LONG-TING WU ◽  
XIA CUI ◽  
RU-WEI DAI
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Pairwise Comparison ◽  
Random Variable ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
Judgment Error ◽  
Scale Error ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) uses pairwise comparison to evaluate alternatives' advantages to a certain criterion. For decision-making problem with many different criteria and alternatives, pairwise comparison causes a prolonged decision-making period and rises fatigue in decision-makers' mentality. A question of practical value is if there exists a way to reduce judgment number and what influence the reduction will have on the overall evaluation of alternative ratings. To answer this question, we introduce scale error and judgment error into AHP judgment matrix. By expanding the scales defined in the AHP, scale error is eliminated. Taking judgment error as random variable, a new estimator to calculate priority vector is presented. In the end, an example is proved to show lowering judgment number will increase the probability of larger errors appearing in priority vector computation.

scholarly journals Analisa Penentuan Saham Terbaik Menggunakan Metode Analytic Hierarchy Process (AHP)

2021 ◽  
Vol 5 (3) ◽  
pp. 790
Author(s):  
Romindo Romindo
Keyword(s):  
Analytic Hierarchy Process ◽  
Stock Exchange ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
The Past ◽  
A Priority ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The number of stock investors has increased from the past to the present. Likewise, the number of companies listed on the Indonesia Stock Exchange (IDX). What makes investors confused about choosing the best stock from the hundreds of stocks that are regulated on the IDX. The method used for the best stock is the Analytic Hierarchy Process (AHP) method. Investors will enter criteria that take into account the specified criteria and criteria. The criteria used to determine stocks are C1 = PER, C2 = PBV, C3 = DER, C4 = ROE and C5 = ROA. The results of research conducted in the second rank show that alternative A1 = CPIN is in the first rank with a Priority Vector of 0.6536, alternative A2 = JFPA is in the second rank with a Priority Vector of 0.2013 and alternative A3 = UTAMA is in the second rank. second rank. second rank. second rank. ranked third with a Priority Vector of 0.1452.

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.

scholarly journals Vulnerability Assessment of Ubiquitous Cities Using the Analytic Hierarchy Process

2020 ◽  
Vol 12 (12) ◽  
pp. 235
Author(s):  
Muhammad Atiq Ur Rehman Tariq ◽  
Cheuk Yin Wai ◽  
Nitin Muttil
Keyword(s):  
Analytic Hierarchy Process ◽  
Information And Communication Technologies ◽  
Natural Hazards ◽  
Communication Technologies ◽  
Analytic Hierarchy ◽  
Information And Communication ◽  
The Analytic Hierarchy Process ◽  
Sustainable Services ◽  
Hierarchy Process ◽  
Insight Into

Urbanization is a challenge faced by most countries worldwide and leads to several problems. Due to rapid communication capabilities, conforming the megacities into Ubiquitous cities (U-cities) seems to be a potential solution to mitigate the problems caused by urbanization. Extensive reliance and dependencies of U-cities on information and communication technologies (ICTs) bring forth a new set of risks and vulnerabilities to these megacities. This research investigates the vulnerabilities of ICTs against man-made and natural hazards in a systematic way using the Analytic Hierarchy Process. The study identifies the vulnerabilities of different ICTs in U-cities and helps in improving the system’s resistivity against various hazards. The task is performed by evaluating the level of disruption on the different technologies and areas under the identified man-made and natural hazards. The research provides an insight into the working mechanisms of involved ICTs. It also helps to manage U-cities with more secure and sustainable services. The research identified that the new ICTs-based hazards have emerged and have become among the most influential hazards. The research has concluded that the vulnerabilities of U-cities are significantly different from that of conventional cities and need further studies to develop further understandings. The research recommends similar vulnerability studies for regional areas as well.

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