计算机工程与应用
計算機工程與應用
계산궤공정여응용
Computer Engineering and Applications
2015年
22期
10-15,60
,共7页
多准则决策%变权%准则依赖%网络分析法%非线性加权影响测度体系
多準則決策%變權%準則依賴%網絡分析法%非線性加權影響測度體繫
다준칙결책%변권%준칙의뢰%망락분석법%비선성가권영향측도체계
Multi-criteria Decision-making(MCDM)%variable weights%interdependent criteria%Analytic Network Process (ANP)%Weighted Influence Non-linear Gauge System(WINGS)
为克服Choquet积分、网络分析法以及决策试行与评价实验室方法在处理具有准则依赖特征的多准则决策问题时存在的指数灾难、难以进行有效判断以及忽视因素自我影响强度等内在缺陷,吸纳网络分析法、数据包络分析以及非线性加权影响测度体系的核心思想,提出一种全新的考虑准则依赖的多准则变权决策方法。该方法不仅从超矩阵构造机理上实现了对系统方案的变权评价,而且更易于反映复杂决策问题的非线性、涌现性、复杂性等本质特征以及决策者的偏好判断信息。案例对比验证结果表明,所提方法是科学可行的,对于解决复杂系统多准则决策问题有着较强的实践应用可操作性。
為剋服Choquet積分、網絡分析法以及決策試行與評價實驗室方法在處理具有準則依賴特徵的多準則決策問題時存在的指數災難、難以進行有效判斷以及忽視因素自我影響彊度等內在缺陷,吸納網絡分析法、數據包絡分析以及非線性加權影響測度體繫的覈心思想,提齣一種全新的攷慮準則依賴的多準則變權決策方法。該方法不僅從超矩陣構造機理上實現瞭對繫統方案的變權評價,而且更易于反映複雜決策問題的非線性、湧現性、複雜性等本質特徵以及決策者的偏好判斷信息。案例對比驗證結果錶明,所提方法是科學可行的,對于解決複雜繫統多準則決策問題有著較彊的實踐應用可操作性。
위극복Choquet적분、망락분석법이급결책시행여평개실험실방법재처리구유준칙의뢰특정적다준칙결책문제시존재적지수재난、난이진행유효판단이급홀시인소자아영향강도등내재결함,흡납망락분석법、수거포락분석이급비선성가권영향측도체계적핵심사상,제출일충전신적고필준칙의뢰적다준칙변권결책방법。해방법불부종초구진구조궤리상실현료대계통방안적변권평개,이차경역우반영복잡결책문제적비선성、용현성、복잡성등본질특정이급결책자적편호판단신식。안례대비험증결과표명,소제방법시과학가행적,대우해결복잡계통다준칙결책문제유착교강적실천응용가조작성。
When dealing with these issues of Multiple Criteria Decision-making(MCDM)with interdependent criteria, the Choquet integral can get into exponential difficulties, the decision-maker is very difficult to give reasonable judgments in Analytic Network Process(ANP), and the strength of criteria is ignored in the Decision-making Trial and Evaluation Laboratory(DEMATEL). To overcome the above drawbacks, in this paper, with the consideration of key ideas of ANP, data envelopment analysis, and Weighted Influence Non-linear Gauge System(WINGS), a new interdependent MCDM approach with Variable Weights(VWs)is suggested. In the approach, not only the mechanism of VWs is achieved, but also these basic characteristics(such as nonlinear, emergence, and complexity)may be reflected effectively, and the judgment prefer-ence for the decision-maker may be well reflected. Finally, compared with other MCDM methods, the approach is validated to be feasible and scientific by a real case, which can be applied to solve complex issues of MCDM in the real world.