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- Title
A Hybrid ANP Method for Evaluation of Government Data Sustainability.
- Authors
Xu, Jicang; Li, Linlin; Ren, Ming
- Abstract
The evaluation of government data sustainability is a multicriteria decision making problem. The analytic network process (ANP) is among the most popular methods in determining the weights of criteria, and its limitation is the un-convergence problem. This paper proposes a hybrid ANP (H-ANP) method, which aims to improve the ANP by combining the weights obtained from the analytic hierarchy process (AHP). The proposed method is proved to be convergent since the network of the H-ANP is strongly connected. According to the simulation experiments, H-ANP is more robust than ANP under different settings of parameters. It also shows a higher Kendall cor-relationship and lower MSE with respect to AHP, compared with the existing method (e.g., the averagely connected ANP method). An empirical example is also provided, which uses H-ANP to evaluate the government data sustainability of a city.
- Subjects
KENDALL (Fla.); MULTIPLE criteria decision making; ANALYTIC hierarchy process; ANALYTIC network process; STATISTICAL decision making; EVALUATION methodology; SUSTAINABILITY
- Publication
Sustainability (2071-1050), 2022, Vol 14, Issue 2, p884
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su14020884