Quality Credit Supervision Research Based on Minimum Dataset: With the Licensed Enterprises in Kunming of China for Case

Qianyanhui Qian and Wenqi Liu
Additional contact information
Qianyanhui Qian: Yunnan University of Finance and Economics, Kunming, China
Wenqi Liu: Kunming University of Science and Technology, Kunming, China

International Journal of Fuzzy System Applications (IJFSA), 2016, vol. 5, issue 2, 64-73

Abstract: As a social management and public service sector, it is convenient for the government to collect and use data, and hence business data become the origin of the big data of government. In order to improve the scientific level of government supervision and management, it is necessary to strengthen the scientific arrangement by using the existing service data. This paper takes a successful example of implementation of e-government, which is “basic quality and technical supervision and management information system” using by bureau of quality and technical supervision in Kunming. After obtaining the quality information from the original public database, this paper used the thinking model which combining the quality credit information and the minimum dataset, then choosing candidate factors with importance rating from minimum dataset by using R language and random forest algorithm. At last, forming and analyzing the minimum dataset of enterprise quality credit supervision through logical argument.

Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJFSA.2016040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:5:y:2016:i:2:p:64-73

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().