模糊数学方法在出版社资源优化配置中的应用

利用模糊数学方法建立了关于出版社资源最优配置的模糊数学模型。以出版教材为主的某出版社为例,通过对数据表进行分析,首先构建了数据样本集,以市场占有率、顾客对该出版社教材的满意度及历年各分社对销售量估计的准确度等因子,作为影响总社分配给各个分社号数的指标,其中准确度以相对误差为衡量标准;其次,对数据规范化建立数据库,选择各个分社作为分类对象,建立模糊相似矩阵,采用最大树法进行聚类分析,得到总社的一个分类;最后,构造权重将总量一定的书号数合理分配给各个分社。

Application of fuzzy mathematical method in resource optimization allocation of publishing house

The fuzzy mathematical method is used to establish resource optimization allocation of publishing house.Taking a publishing house which mainly publishes teaching materials as an example,based on analysis of data forms,data example set is constructed.The factors such as market occupancy,customer satisfactory degree,accuracy of estimated sale quantity in pasted years and so on are used as index to affect the number of serials number which is given to its branches.Accuracy is measured by relative error.Then,data bank is constructed by data standardization.Each branch is used as object of classification to construct fuzzy similar matrix.Maximum Tree method is used to conduct clustering analysis to obtain classification of general publishing house.Finally,weighted method is used as distribution standard to give the number of serial number to each branch.