CAJ | 학술논문

为克服经典多准则决策（MCDM）方法不适应动态的决策环境、难以反映方案集对准则集的非线性反馈效应等方面缺陷，通过运用网络分析和数据包络分析技术，提出一种动态环境下的群组专家多准则变权决策方法。较之于经典MCDM方法，新方法主要创新之处在于：给出了MCDM模型的动态演化机理；通过专家对方案所处准则状态予以有偏好（无偏好）判断，提出一种保证信息无损的群组专家信息提取方式；实现了对方案的变权评价，有效反映出蕴含在系统内部的准则集与方案集的非线性交互作用关系。实例验证结果表明，所提方法是科学可行的，能够有效解决救灾方案动态优选、供应商动态评价等实践问题。
위극복경전다준칙결책（MCDM）방법불괄응동태적결책배경、난이반영방안집대준칙집적비선성반궤효응등방면결함，통과운용망락분석화수거포락분석기술，제출일충동태배경하적군조전가다준칙변권결책방법。교지우경전MCDM방법，신방법주요창신지처재우：급출료MCDM모형적동태연화궤리；통과전가대방안소처준칙상태여이유편호（무편호）판단，제출일충보증신식무손적군조전가신식제취방식；실현료대방안적변권평개，유효반영출온함재계통내부적준칙집여방안집적비선성교호작용관계。실례험증결과표명，소제방법시과학가행적，능구유효해결구재방안동태우선、공응상동태평개등실천문제。
Classic Multi-Criteria Decision Making(MCDM)method is unable to deal with the dynamicity in real world. Also, it is difficult to reflect the feedback action that Alternative Cluster(AC)dominates Criteria Cluster(CC). To over-come the above mentioned drawbacks, in this paper a multi-criteria group decision making approach with variable weights in a dynamic environment is suggested by synthesizing both data envelopment analysis and analytic network pro-cess. Compared with classic MCDM method, the outstanding advantages for the approach lie in following three points. A dynamic evolvement mechanism for MCDM model is proposed. A novel group information distilling way is given by ana-lyzing these statements that each alternative lies in criteria to express expert preference, which ensures no loss of every infor-mation. It may realize the decision with variable weights for alternatives, therefore, nonlinear interaction relation between AC and CC could be well reflected. The approach is validated to be feasible and scientific and can be well applied to solve the real world dynamic decision issues, such as selecting dynamic disaster relief alternatives, supplier dynamic eval-uation, etc.