摘要
尝试将遗传约简算法应用于高技术企业信用评价指标体系构建。首先,建立高技术企业信用评价初始指标体系,并采用等频率法实现连续属性离散化;然后,运用遗传约简算法求解最小约简,从而剔除冗余指标,获得约简后的高技术企业信用评价指标体系。实证分析结果证明了遗传约简算法在高技术企业信用评价指标体系构建中的可行性和适用性。
This paper attempts to apply genetic reduction algorithm in construction of credit evaluation index system for high-tech enterprises.Firstly,an initial credit evaluation index system of high-tech enterprises is constructed.And then,the discretization of continuous attributes is realized by means of the equal frequency scaler.Secondly,using genetic reduction algorithm,the minimal reduction is solved and those redundant indices are removed.Thus,a reduced index system is obtained.Finally,the empirical analysis results show that genetic reduction algorithm is feasible and suitable in construction of credit evaluation index system for high-tech enterprises.
出处
《经济研究导刊》
2010年第25期29-31,41,共4页
Economic Research Guide
基金
国家自然科学基金资助项目(70971015)
关键词
高技术企业
信用评价
指标体系
粗糙集
属性约简
遗传约简算法
high-tech enterprise
credit evaluation
index system
rough set
attribute reduction
genetic reduction algorithm
