Spatial mapping of groundwater potential using data-driven evidential belief function, knowledge-based analytic hierarchy process and an ensemble approach

2021 ◽  
Vol 80 (18) ◽  
Author(s):  
Biman Ghosh
Keyword(s):  
Analytic Hierarchy Process ◽  
Belief Function ◽  
Groundwater Potential ◽  
Data Driven ◽  
Spatial Mapping ◽  
Analytic Hierarchy ◽  
Evidential Belief Function ◽  
Knowledge Based ◽  
Using Data ◽  
Hierarchy Process

scholarly journals The Priority of Factors of Building Government as a Platform with Analytic Hierarchy Process Analysis

2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong
Keyword(s):  
Public Sector ◽  
Analytic Hierarchy Process ◽  
Process Analysis ◽  
Electronic Government ◽  
Data Driven ◽  
Analytic Hierarchy ◽  
The Public ◽  
Study Results ◽  
The Government ◽  
Hierarchy Process

Nowadays, the Government as a Platform (GaaP) based on cloud computing and network, has come to be considered a new structure to manage efficiently data-driven administration in the public sector. When the GaaP concept was first introduced, the ICT infrastructures that could underpin GaaP were not sufficiently developed. However, the recent digital transformation has transformed the previous electronic government, which was system- and architecture-oriented. As part of the next generation of government models, GaaP may reinvent the government at a lower cost but with better performance, similar to the case of electronic government two decades ago. This study attempted to determine the priority of factors of GaaP by using the analytic hierarchy process (AHP) methodology. Because of the GaaP characteristics, we drew the main components for building GaaP from previous studies and a group interview with experts. The study results show that experts tend to prefer publicness in terms of building GaaP. Most of the factors that the experts weighed with the highest importance are related to the public sector, which revealed that governments should focus on their primary duty, regardless of the origin and characteristics of the platform in GaaP. However, since GaaP allows governments to be more horizontal and innovative, the platform approach can fundamentally shift the existing processes and culture of the public sector. The enhanced activity of citizens with ICT can also accelerate the introduction of GaaP. Finally, the study showed that a data-driven GaaP is necessary to efficiently handle big data, contract services, and multiple levels of on-line and off-line channels. In this public platform, government, citizens, and private sector organizations can work cooperatively as partners to seamlessly govern the hyper-connected society.

scholarly journals Measuring the institutional efficiency using data envelopment analysis and analytic hierarchy process: The case of a Mexican University

2012 ◽  
Vol 6 (50) ◽  
pp. 11923-11930 ◽  
Author(s):  
Antonio Altamirano Corro ◽  
Domingo Goacute mez Melendez ◽  
B ◽  
Humberto a Ortiacute z ◽  
Alvaro Loacute pez Lambrantilde o ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Analytic Hierarchy Process ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Using Data ◽  
Institutional Efficiency ◽  
Hierarchy Process
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