[1]曹黎侠,伏文清.基于粗糙集的第三方支付网络效益风险的评估[J].计算机技术与发展,2019,29(03):149-153.[doi:10.3969/ j. issn.1673-629X.2019.03.031]
　CAO Li-xia,FU Wen-qing.Benefit Risk Evaluation of Third-party Payment Network Based on Rough Set[J].,2019,29(03):149-153.[doi:10.3969/ j. issn.1673-629X.2019.03.031]
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基于粗糙集的第三方支付网络效益风险的评估()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年03期
页码:
149-153
栏目:
应用开发研究
出版日期:
2019-03-10

文章信息/Info

Title:
Benefit Risk Evaluation of Third-party Payment Network Based on Rough Set
文章编号:
1673-629X(2019)03-0149-05
作者:
曹黎侠; 伏文清
西安工业大学 理学院,陕西 西安 710032
Author(s):
CAO Li-xia; FU Wen-qing
School of Science,Xi’an Technological University,Xi’an 710032,China
关键词:
粗糙集; 第三方支付网络; 模糊综合评价; 效益风险
Keywords:
rough set; third-party payment network; fuzzy comprehensive evaluation; benefit risk
分类号:
TP182;O29
DOI:
10.3969/ j. issn.1673-629X.2019.03.031
摘要:
效益已经成为第三方支付企业生存的潜在风险因素,然而第三方支付网络效益风险的评估,到目前还没有见到相关的研究成果。 结合粗糙集理论、复杂网络理论和古典统计学,研究了第三方支付复杂网络的度分布及其特性,提出了一种第三方支付网络效益风险的评估方法。 考虑了复杂网络中的不确定信息和网络结构的不可分辨性,考虑了产生效益的主观原因-努力水平,构建了一种新的效益风险指标体系,能够满足第三方支付企业实现对平台效益风险的评估。 仿真实例表明,网络的交易额(收藏额)比广告费用对网络信任度的影响更大,网络信息度是影响网络效益风险的关键性因素。
Abstract:
Benefits have become a potential risk factor for the survival of third-party payment enterprises. However,so far,no relevant research results have been seen in the evaluation of benefits and risks of third-party payment networks. Combining rough set theory,complex network theory and classical statistics,we study the degree distribution and characteristics of the complex network of the third-party payment,and put forward a method to evaluate the benefits and risks of the third-party payment network. Considering the uncertain information in the complex network and the indistinguishability of the network structure,as well as the subjective cause-effort level,we construct a new benefit risk index system,which can meet the needs of third-party payment enterprises to realize the evaluation of the platform benefit risk. The simulation shows that the transaction volume (collection amount) of the network has a greater influence on the network trust degree than the advertising cost,and the network information degree is the key factor affecting the network benefit risk

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更新日期/Last Update: 2019-03-10