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.