工业工程
工業工程
공업공정
Industrial Engineering Journal
2015年
4期
127-131
,共5页
方案经济性%多目标决策%分形评估%关联维数
方案經濟性%多目標決策%分形評估%關聯維數
방안경제성%다목표결책%분형평고%관련유수
economic evaluation%multi-targets decision%fractal evaluation%correlation dimension
将进度因素引入作战飞机研制方案经济性评价中进行多目标综合评价十分必要,然而现有多目标评价与决策方法存在着不合理线性化、多层次混合数据难于处理、主观性大等不足,分形理论揭示了非线性系统整体与局部间的规律性、层次性和标度不变性,其量化特征值分形维数是整体关键信息的定量表示,因而在对评价因素间非线性、多层次关系的处理及对评价对象整体特征值的提取上都具有明显优势。为此,构建了多目标混合层次的作战飞机方案评估指标体系,提出基于分形理论的多目标综合评估办法,通过实例分析,分形方法和基于理想点的多目标决策法结论一致,验证了该方法的有效性,并且分形方法具有简单易行、相对客观且能处理任意层次混合数据的优势。
將進度因素引入作戰飛機研製方案經濟性評價中進行多目標綜閤評價十分必要,然而現有多目標評價與決策方法存在著不閤理線性化、多層次混閤數據難于處理、主觀性大等不足,分形理論揭示瞭非線性繫統整體與跼部間的規律性、層次性和標度不變性,其量化特徵值分形維數是整體關鍵信息的定量錶示,因而在對評價因素間非線性、多層次關繫的處理及對評價對象整體特徵值的提取上都具有明顯優勢。為此,構建瞭多目標混閤層次的作戰飛機方案評估指標體繫,提齣基于分形理論的多目標綜閤評估辦法,通過實例分析,分形方法和基于理想點的多目標決策法結論一緻,驗證瞭該方法的有效性,併且分形方法具有簡單易行、相對客觀且能處理任意層次混閤數據的優勢。
장진도인소인입작전비궤연제방안경제성평개중진행다목표종합평개십분필요,연이현유다목표평개여결책방법존재착불합리선성화、다층차혼합수거난우처리、주관성대등불족,분형이론게시료비선성계통정체여국부간적규률성、층차성화표도불변성,기양화특정치분형유수시정체관건신식적정량표시,인이재대평개인소간비선성、다층차관계적처리급대평개대상정체특정치적제취상도구유명현우세。위차,구건료다목표혼합층차적작전비궤방안평고지표체계,제출기우분형이론적다목표종합평고판법,통과실례분석,분형방법화기우이상점적다목표결책법결론일치,험증료해방법적유효성,병차분형방법구유간단역행、상대객관차능처리임의층차혼합수거적우세。
The factor of development schedule is necessary to discuss in the economic evaluation of combat aircraft design alternatives.However, there are deficiencies in present methods, such as unreasonable lin-earization, difficulty in dealing with the multi-level data, excessive subjectivity and so on.Fractal theory reveals regularity, the hierarchy and scale invariance between the whole and partial, and the quantitative feature correlation dimension presents the key information of the whole.Obviously, the fractal theory has obvious advantages in dealing with the nonlinear relationship between the evaluation factors and extraction characteristic value of evaluation object.Due to these advantages, a multi-targets evaluation index system of combat aircraft design alternatives is constructed.An example is used to prove the effectiveness of the method, the fractal method and the order preference by similarity to an ideal solution ( TOPSIS) with the same conclusion.Moreover, fractal method is simpler, more objective, and can handle arbitrary level of mixed data.