Research on the evaluation of the level of social security of floating population in China based on the two stage grey clustering method

2017 ◽  
Author(s):  
Yifan Wang ◽  
Yu Zhang
Keyword(s):  
Social Security ◽  
Floating Population ◽  
Clustering Method ◽  
Two Stage ◽  
Grey Clustering

scholarly journals The influence of medical insurance and social security cards on the floating population's settlement intention

2020 ◽  
Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
dongmei dou
Keyword(s):  
Social Security ◽  
Social Integration ◽  
Indirect Effect ◽  
Structural Equation ◽  
Medical Insurance ◽  
Floating Population ◽  
Dynamic Monitoring ◽  
Basic Medical Insurance ◽  
The Government ◽  
Basic Medical

Abstract Background There are many studies on the influencing factors of floating population's intention to settle down. Medical insurance and social security cards have an important guarantee for the floating population to live a stable life in the current residence, but there are limited studies focused on the influence of medical insurance and social security cards on their settlement intention. Therefore, the purpose of this paper is to study the influence of medical insurance and social security card on the settlement intention of floating population, so as to create better living and working conditions for floating population and improve their happiness in their current place of residence. Methods Based on the survey data of China's floating population dynamic monitoring in 2017, we explored the influence of medical insurance (urban employee basic medical insurance) and social security cards on the floating population's settlement intention with binary logistic regression and structural equation model. Additionally, this study was also to examine the comprehensive causal relationship, with social integration as the mediator variable. Results The floating population's settlement intention on participating in urban employee basic medical insurance is 23.2 percent higher than those who did not participate. Whether to apply for personal social security cards is related to the settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention are positive values, and the Z values ​​of the overall effect, indirect effect, and direct effect are all greater than 1.96, and the confidence interval of the indirect effect does not include 0. The article found that this model is a partial intermediary, with an intermediary ratio of 10.66 percent. Conclusions The article highlights the important impact of urban workers' medical insurance and individual social security cards on the floating population. The results of this study may provide some reference for the government to formulate relevant policies.

Solving the dilemma in supplier selection by the group of weight vector with kernel

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu ◽  
Tao Liu ◽  
Wenfeng Yuan ◽  
Yingjie Yang
Keyword(s):  
Decision Model ◽  
Weight Vector ◽  
Clustering Coefficient ◽  
The Novel ◽  
Two Stage ◽  
Content Type ◽  
Grey Clustering ◽  
Coefficient Vector ◽  
Overall Evaluation ◽  
Selection Decision

PurposeThe purpose of this paper is to solve the dilemma in the process of major selection decision-making.Design/methodology/approachFirstly, the group of weight vector with kernel has been defined. Then, the weighted comprehensive clustering coefficient vector was calculated based on the group of weight vector with kernel. Under the action of weighted comprehensive clustering coefficient vector, the information including in other components around component k and supporting object i to be classified into the k-th category has been gathered to component k. At last, a novel two-stage decision model based on the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector is put forward to solve the dilemma in grey clustering evaluation. Then the overall evaluation conclusion can be consistent with the clustering result according to the rule of maximum value.FindingsA new way to solve the dilemma in the process of major selection decision-making has been found. People can obtain a consistent result with two-stage decision model at the case of dilemma. That is, the conclusion of the overall evaluation is consistent with the clustering result according to the rule of maximum value.Practical implicationsSeveral functional groups of weight vector with kernel have been put forward. The proposed model can solve the clustering dilemma effectively and produce consistent results. A practical application of decision problem to solve the dilemma in supplier evaluation and selection of a key component of large commercial aircraft C919 have been completed by the novel two-stage decision model.Originality/valueThe two-stage decision model, the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector were presented in this paper firstly. People can solve the dilemma in grey clustering evaluation effectively by the novel two-stage decision model based on the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector.

Combining Multi-Modal Features for News Story Correlation Analysis

2011 ◽  
Vol 268-270 ◽  
pp. 1040-1045
Author(s):  
Dan Wen Chen ◽  
Li Qiong Deng ◽  
Zhi Min Yuan ◽  
Ling Da Wu
Keyword(s):  
Correlation Analysis ◽  
Semantic Information ◽  
Difficult Problem ◽  
News Story ◽  
Clustering Method ◽  
Two Stage ◽  
Features Fusion ◽  
Textual Features ◽  
Fusion Approach

How to combine multi-modal features effectively is a difficult problem in news story correlation analysis, this paper puts forward a new two-stage fusion approach based on visual and textual features fusion to solve this problem. First we use a co-clustering method to get the clustering groups of similar stories with the visual and semantic information of news story. And then, on the base of the result of the first step, we use different weighted strategies to analyze the news story correlation in a further way, which aim at the different type of news story. The methods can get a better result of the news story correlation analysis by experiments.

Sign in / Sign up

Export Citation Format

Share Document