摘要
构建了多方法评价结论的动态粒度模型,给出了构建多方法评价结论动态粒度模型的算法.这里的动态粒度主要考察方案数量增减的粒度变化.当数量减少的方案构成子评价问题并重新进行评价时,方案间属性值的差距被拉大,更易于各种评价方法分辨方案间的优劣,给出更加精确的评价结论.根据构建的多方法评价结论动态粒度模型,对广东省主导产业选择的评价问题进行了演算,给出了有意义的结果,证实了模型的可行性.
This paper builds a dynamic granularity model of evaluation of different methods, and give the algorithm to build the dynamic granularity model of evaluation of different methods. This paper mainly study the change of the program number, when Reduce the number of programs to constitute a sub-evaluation and re-evaluate, the gap of Attribute value between the program is pulled large, it is become easier to distinguish the programs by different evaluation methods, and Give a more precise evaluation. Finally, we make the evaluation of Guangdong Province Choice of Leading Industries based on our dynamic granularity model, gave a meaningful result, and Confirmed the feasibility of the model.
出处
《数学的实践与认识》
CSCD
北大核心
2013年第13期21-27,共7页
Mathematics in Practice and Theory
基金
桂林理工大学科研启动费资助项目
广西区2011年度高等学校科研项目(200103YB057)阶段性成果
关键词
粒度
评价
结论一致性
granularity
evaluation
consistent result
