火力与指挥控制
火力與指揮控製
화력여지휘공제
FIRE CONTROL & COMMAND CONTROL
2014年
6期
36-39
,共4页
不确定性推理%概率转换%HDSmP%态势估计
不確定性推理%概率轉換%HDSmP%態勢估計
불학정성추리%개솔전환%HDSmP%태세고계
uncertainty reasoning%probabilistic transformation%HDSmP%situation assessment
战场态势分析是指挥决策的基础,D-S证据理论广泛应用于不确定性下的近似推理,尤其在战场的态势估计中起到了重要作用。为了降低命题中含复合焦元时的不确定度,需要运用概率转换方法如Pignistic方法等对这些焦元进行概率转换。当存在命题的基本信度赋值函数( BBA)bba(全称)为零的情况时,一些常规的概率转换方法不能处理,即使能处理这种情况的概率转换方法在降低不确定度方面也没有达到理想效果。提出利用HDSmP方法将信度函数近似转换成概率函数,不仅可解决辨识框架中存在信度为零的命题时的情况,而且可以降低不确定性。此外,对HDSmP方法中比率再分配因子的取值进行了分析,通过实例验证了该方法在战场态势估计中的可行性和实用性。
戰場態勢分析是指揮決策的基礎,D-S證據理論廣汎應用于不確定性下的近似推理,尤其在戰場的態勢估計中起到瞭重要作用。為瞭降低命題中含複閤焦元時的不確定度,需要運用概率轉換方法如Pignistic方法等對這些焦元進行概率轉換。噹存在命題的基本信度賦值函數( BBA)bba(全稱)為零的情況時,一些常規的概率轉換方法不能處理,即使能處理這種情況的概率轉換方法在降低不確定度方麵也沒有達到理想效果。提齣利用HDSmP方法將信度函數近似轉換成概率函數,不僅可解決辨識框架中存在信度為零的命題時的情況,而且可以降低不確定性。此外,對HDSmP方法中比率再分配因子的取值進行瞭分析,通過實例驗證瞭該方法在戰場態勢估計中的可行性和實用性。
전장태세분석시지휘결책적기출,D-S증거이론엄범응용우불학정성하적근사추리,우기재전장적태세고계중기도료중요작용。위료강저명제중함복합초원시적불학정도,수요운용개솔전환방법여Pignistic방법등대저사초원진행개솔전환。당존재명제적기본신도부치함수( BBA)bba(전칭)위령적정황시,일사상규적개솔전환방법불능처리,즉사능처리저충정황적개솔전환방법재강저불학정도방면야몰유체도이상효과。제출이용HDSmP방법장신도함수근사전환성개솔함수,불부가해결변식광가중존재신도위령적명제시적정황,이차가이강저불학정성。차외,대HDSmP방법중비솔재분배인자적취치진행료분석,통과실례험증료해방법재전장태세고계중적가행성화실용성。
The battlefield situation assessment is the basis for decision-making,Dempster-Shafer evidence theory is widely used for approximate reasoning under uncertainty,and it plays an important role especially in the battlefield situation assessment. In order to reduce the uncertainty of compound focal elements of propositions,probability transformation methods such as Pignistic methods are adopted to transform these focal elements into single focal elements with reduced uncertainty. When there is a proposition whose Basic Belief Assignment (BBA)bba equals to zero,it is impossible for some conventional probability conversion method to solve the problem. And even if it can be addressed through some probability conversion methods,it’s not ideat in reducing the uncertainty after the transformation. In this paper,the usage of HDSmP transformation method is put forward to approximate a belief function into a probability measure,which not only solve the situation where there are propositions whose belief values equal to zero in the discernment framework,but it also reduce uncertainty of the proposition. In addition,the analysis of the proportional redistribution factor(ratio) in HDSmP method is presented. Finally,the feasibility and practicability of the method are illustrated through examples of the battlefield situation.