提出了一种循环修正的组合评价方法.首先,对所研究的问题选取几种综合评价方法进行综合评价.其次,用Sperm an等级相关系数法检验几种综合评价法的一致性.进一步重复采用平均值法、Boarda法、C om peland法和模糊Board法对上述综合评价...提出了一种循环修正的组合评价方法.首先,对所研究的问题选取几种综合评价方法进行综合评价.其次,用Sperm an等级相关系数法检验几种综合评价法的一致性.进一步重复采用平均值法、Boarda法、C om peland法和模糊Board法对上述综合评价结果进行组合评价,直到标准差均收敛于0为止,得到最优的组合评价结果.最后以辽宁省2001年实际统计资料为例,对各地区的经济实力进行了综合评价和排序.展开更多
The basic concepts and models of weapon-target assignment （WTA） are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present ...The basic concepts and models of weapon-target assignment （WTA） are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic WTA are discussed.展开更多
文摘提出了一种循环修正的组合评价方法.首先,对所研究的问题选取几种综合评价方法进行综合评价.其次,用Sperm an等级相关系数法检验几种综合评价法的一致性.进一步重复采用平均值法、Boarda法、C om peland法和模糊Board法对上述综合评价结果进行组合评价,直到标准差均收敛于0为止,得到最优的组合评价结果.最后以辽宁省2001年实际统计资料为例,对各地区的经济实力进行了综合评价和排序.
基金This project was supported by the National Defense Pre-Research Foundation of China
文摘The basic concepts and models of weapon-target assignment （WTA） are introduced and the mathematical nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic WTA are discussed.
