2021
DOI: 10.1155/2021/6668516
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Risk Aversion of Public Service Marketization Based on Fuzzy Analytic Hierarchy Process

Abstract: With the development of China’s economy, people’s demand for public services is increasing. While meeting the public better through marketization, it is also easy to lead to some risks. The purpose of this study is to use the fuzzy analytic hierarchy process (FAHP) to evaluate the risk of public service marketization and make effective measures to avoid it. This study selects the Public Gymnasiums in different districts of our city as the research object and selects one as the nationalized public service place… Show more

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Cited by 2 publications
(2 citation statements)
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“…In fuzzy theory, there are many ways to determine the membership function. In order to get a consistent recognition conclusion, the membership function needs to be modified and optimized for many times [11,12]:…”
Section: Fuzzy Analysis Eorymentioning
confidence: 99%
“…In fuzzy theory, there are many ways to determine the membership function. In order to get a consistent recognition conclusion, the membership function needs to be modified and optimized for many times [11,12]:…”
Section: Fuzzy Analysis Eorymentioning
confidence: 99%
“…The fintech risk mentioned in Sect 4 is only a qualitative concept; therefore, to measure fintech risk quantitatively, we construct a combined weighting model of fintech risk indicators based on the principle of minimum discriminative information [8]. In this model, combination weighting includes two parts, i.e., subjective weights are determined by fuzzy hierarchical analysis [9]; objective weights are determined by the entropy value method [10]. The reason for considering the integrated weighting approach is that, as an emerging field, FinTech involves two major fields, finance and technology, and different people hold different views on the risks of FinTech, so it is necessary to rely on authoritative experts to score FinTech risk indicators.…”
Section: Fintech Risk Modelmentioning
confidence: 99%