2018
DOI: 10.3390/ijgi7020050
|View full text |Cite
|
Sign up to set email alerts
|

The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin

Abstract: Abstract:As the era of big data approaches, big data has attracted increasing amounts of attention from researchers. Various types of studies have been conducted and these studies have focused particularly on the management, organization, and correlation of data and calculations using data. Most studies involving big data address applications in scientific, commercial, and ecological fields. However, the application of big data to government management is also needed. This paper examines the application of mul… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0
1

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 20 publications
(23 reference statements)
0
2
0
1
Order By: Relevance
“…In this paper, factors are identified by using this mechanism method. According to researchers Wang et al (2018), have proven and parallel that AHP could assist the decision-makers to assemble decisions to resolve the multi-conflicting factors. As we know, the AHP method is to resolve multi-criteria for complex decision problems by prioritized rankings.…”
Section: Future Work and Conclusionmentioning
confidence: 99%
“…In this paper, factors are identified by using this mechanism method. According to researchers Wang et al (2018), have proven and parallel that AHP could assist the decision-makers to assemble decisions to resolve the multi-conflicting factors. As we know, the AHP method is to resolve multi-criteria for complex decision problems by prioritized rankings.…”
Section: Future Work and Conclusionmentioning
confidence: 99%
“…• Julgamentos paritários: aqui é proposta a comparação entre pares por meio de uma matriz de comparação pareada. Os resultados são representados na matriz de julgamento, que é usada para fazer as comparações entre os pares e representa a importância dos elementos entre os níveis atual e anterior (WANG et al, 2018). Os elementos da matriz são calculados pela Equação 1:…”
Section: Metodologiaunclassified
“…Result shows Competitiveness factor is most important dimension for implementation of RL practices. Wang et al [17] attempt to verify the application of multi-source government data to urban construction and supervision in Tianjin (China) using AHP and new correlation algorithm. The results explain that there is correlation between the constructions projects and their approval items.…”
Section: Review Of Literaturementioning
confidence: 99%