Per Capita Medical Expenses Study Based on Fuzzy Polynomial
The growth in medical expenses leads a lot of pressure to the sustainable development of the health insurance industry in China.Firstly,China”s per capita medical expenses are expressed as triangular fuzzy numbers; then fitting parameters with fuzzy least square method.It provides a new way of thinking and methods to study and forecast medical expenses of per capita Medical costs in China.Conventional regression analysis gives the correlation coefficient confidence intervals,reflecting the estimated coefficient for the degree of certainty.Fuzzy regression relationship analyze two functions: one is function of the central value of observed data,the other is the functional of the spread of observed data,and we have on the results of per capita medial expenses.Fuzzy regression analysis is based on the close degree of two Fuzzy sets,it reflects the degree of certainty level between the observed data and the fitting data.
Fuzzy Polynomial Medical Expenses health insurance
KOU Yefu Li Jia WANG Yunbo
China Institute for Actuarial Science,Central University of Finance and Economics,Beijing,China,1000 School of Insurance,Central University of Finance and Economics,Beijing,China,100081
国内会议
北京
英文
176-181
2011-07-24（万方平台首次上网日期，不代表论文的发表时间）