Multiattribute Decision Analysis: The Analytic Hierarchy Process

1992 ◽  
pp. 621-624
Author(s):  
Karl Weber
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Analytic Hierarchy ◽  
Multiattribute Decision Analysis ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

scholarly journals Applying the Analytic Hierarchy Process Decision Analysis to Better Understand Adoption Intentions of Mobile Banking

2016 ◽  
Vol 6 (1) ◽  
pp. 431
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen ◽  
Chiao-Chen Chang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Mobile Banking ◽  
Analytic Hierarchy ◽  
Research Findings ◽  
The Analytic Hierarchy Process ◽  
Banking Development ◽  
Hierarchy Process ◽  
Adoption Intention ◽  
Selection Of

<p class="ber"><span lang="EN-GB">The purpose of this study was to examine the influencing factors of the adoption intention of mobile banking from a bank perspective. The survey data were conducted from a selection of mobile banking, and were analyzed by the analytic hierarchy process (AHP) decision analysis to explore adoption intentions in the context of mobile banking. The results of the AHP decision analysis revealed that the “convenience” and the “personalization” were the most important factors for mobile banking from a bank’s perspective. Furthermore, the research findings illustrated theoretical and practical implications for mobile banking development and indicated how to reinforce the “location-based benefits” and the “transaction speed” in order to create customer adoption intentions via a bank perspective.</span></p>

scholarly journals A UNIFIED DECISION FRAMEWORK FOR INVENTORY CLASSIFICATION THROUGH GRAPH THEORY

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Bivash Mallick ◽  
Bijan Sarkar ◽  
Santanu Das
Keyword(s):  
Graph Theory ◽  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Multiple Criteria Decision Making ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Consumption Cost ◽  
The Analytic Hierarchy Process ◽  
Abc Analysis ◽  
Hierarchy Process

Conventionally, a traditional ABC analysis based on a single criterion of annual consumption cost is employed in industry to facilitate classification of inventory items. However, other criteria may be important in inventory classification such as lead time, item criticality, storage cost, etc. Hence, for situations like this many multiple criteria decision-making methods are available and the Analytic Hierarchy Process (AHP) is a popular one. The present article demonstrates a new approach by integrating Graph Theory (GT) and the Analytic Hierarchy Process (AHP) as a decision analysis tool for multi-criteria inventory classification. In this paper, 47 disposable items used in a respiratory therapy unit of a hospital were considered for a case study. Output of this hybrid method shows more precise results than that of either traditional ABC or the AHP classification methods. As the proposed decision analysis tool is a simple, logical, systematic and consistent method, it may be recommended for application in diverse industries handling multi-criteria inventory classification systems.https://doi.org/10.13033/ijahp.v9.i2.482

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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