Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems

A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table. In this paper, we propose methods for attribute reduction in static incomplete decision systems and dynamic incomplete decision systems with dynamically-increasing and decreasing conditional attributes. Our methods use generalized discernibility matrix and function in tolerance-based rough sets

Dynamic Relationship among Effective Supply Chain Practices, Income, Exchange Rate, Foreign Direct Investment, and Export Performance

This study has an effort to explore the dynamic relationship among income, exchange rate, foreign direct investment, effective supply chain practices and export performance. Based on quarterly data from Q2/2009 to Q4/2019, constituting 43 observations. To attain dynamic and unvarying relationship among these variables, applying Vector Autoregressive Model, results indicate that, in short run, each variable is highly influenced by changes of value and past value of its and the other variables at different degree. In addition, there does not exist a long run association among exchange rate, income, foreign direct investment and export in Vietnam in the research period

Access To Basic Social Services: An Evaluation From The Viet Nam Household Living Standard Surveys

This study aims to evaluate access to social services of the most vulnerable groups of Vietnamese people, as well as propose some policy recommendations for improving targeting mechanisms for the social protection system in Viet Nam. We will use the Viet Nam Household Living Standard Surveys in 2000s to pursue these research objectives. In particular, we will focus on following social services: (1) school; (2) health care; (3) pension and allowances; (4) housing conditions; (5) clean water and sanitation; (6) durables; (7) electricity; (8) support programs; and (9) infrastructure. The most vulnerable groups include: (1) children; (2) the elderly; (3) ethnic minority people; and (4) the poor. All indicators representing access to social services of these people will be disaggregated into gender, areas, and regions

A Distance-Based Method for Attribute Reduction in Incomplete Decision Systems

There are limitations in recent research undertaken on attribute reduction in incomplete decision systems. In this paper, we propose a distance-based method for attribute reduction in an incomplete decision system. In addition, we prove theoretically that our method is more effective than some other methods

Impact Assessment and Micro-Simulations of Different Policy Options for Child Benefit in Viet Nam

This study was aimed to estimate how cash transfer to children could help to reduce their poverty as well as to increase access to education, health and other material life conditions. We find that cash transfers would have a positive effect of income on school enrolment: a one percent increase in per capita income could lead to a 0.0394 percent increase in the probability of children’s primary and secondary school enrolment. In addition, increased income resulted from cash transfers could significantly increase out-of-pocket (OOP) spending on education: a one percent increase in per capita income could help households increase OOP spending on education and OOP spending on education excluding tuition fee by 0.883 percent and 0.454 percent, respectively. Finally, the simulations show that generally the transfer amount of VND 70,000/month/child (which was merely 2.31% of GDP per capita in 2012) could increase the school enrolment rate of children by 0.125 percent. However, there were no significant effects of cash transfers on health care contacts (both impatience and outpatience) and out-of-pocket spending on health care

A Method to Construct an Extension of Fuzzy Information Granularity Based on Fuzzy Distance

In fuzzy granular computing, a fuzzy granular structure is the collection of fuzzy information granules and fuzzy information granularity is used to measure the granulation degree of a fuzzy granular structure. In general, the fuzzy information granularity characterizes discernibility ability among fuzzy information granules in a fuzzy granular structure. In recent years, researchers have proposed some concepts of fuzzy information granularity based on partial order relations. However, the existing forms of fuzzy information granularity have some limitations when evaluating the fineness/coarseness between two fuzzy granular structures. In this paper, we propose an extension of fuzzy information granularity based on a fuzzy distance measure. We prove theoretically and experimentally that the proposed fuzzy information granularity is the best one to distinguish fuzzy granular structures. ACM Computing Classification System (1998): I.5.2, I.2.6

An Empirical Investigation of the Subjective Financial Well-Being and Life Satisfaction of Older Adults in Vietnam

This research examined factors predicting the financial well-being of older people and how financial well-being was associated with life satisfaction among older adults in Vietnam using a national survey. We found that income, assets, health status, and demographic factors were significantly associated with older adults’ financial well-being. The results also revealed that, for older adults, subjective financial well-being was positively associated with life satisfaction, but among the objective financial well-being indicators only the number of assets was directly related to life satisfaction. On the other hand, income might be indirectly related to life satisfaction through subjective financial well-being. The results were consistent across various measures of subjective financial well-being

Efficiency Performance of Hospitals and Medical Centers in Vietnam

The purpose of this paper is to analyze the efficiency performance of the hospitals and medical centers in Vietnam by using a non-parametric approach, namely the data envelopment analysis (DEA) model. The data from the Economic Census for Enterprises by the General Statistics Office of Vietnam (GSO) consists of 44 observations, which include 17 hospitals and 27 medical centers in different provinces and cities in 2002. The results indicate that the average scale efficiency of the hospitals was 77.4 percent, while that of the medical centers was 58.7 percent. Further, hospitals were clearly more efficient than medical centers due to some possible factors. Locations in Hanoi and Ho Chi Minh city had no influence on either overall technical efficiency or scale efficiency. Despite differences in the results of testing the impact of net capital-labor ratio on efficiency for hospitals and medical centers, these organizations appear to operate in labor-intensive ways

Efficiency of Construction Firms in Vietnam

This paper uses both parametric and non-parametric approaches to estimate technical efficiency for 2,298 construction firms in Vietnam in the database of the 2002 Economic Census for Enterprises by the General Statistics Office of Vietnam (GSO). It is found that results from both approaches are consistent, and they could help explain the performance efficiency of these firms. Estimates from the non-parametric approach (data envelopment analysis [DEA] model) and the parametric approach (stochastic frontier production function [SFPF] model) indicate that the average pure technical efficiency of these firms was about 60 percent (58.6% and 57.8% for DEA and SFPF, respectively). Models to test the factors influencing efficiency scores in both approaches show relatively similar results that state firms were more efficient than non-state ones, and location in Hanoi and Ho Chi Minh city did have impacts on efficiency scores. However, exploration of the net capital-labor ratio variable show that it did not influence efficiency scores in the DEA model, while it had clear influence in the SFPF model