CAJ | 학술논문

在多属性决策领域中,经典评价指标客观赋权的极大熵模型主要依据指标评价值的差异度进行赋权,极易导致对评价值差异度小的指标作出不重要(权值小)的错误判断,从而产生决策偏差.对此,首先提出灰关联深度系数的概念,以表征指标客观权重包含的信息量大小;同时运用极大熵理论建立评价指标客观权重的极大熵配置模型,以确定多属性决策指标权重,较好地解决了经典模型存在的严重缺陷;最后通过实际案例的对比分析,验证了所提出解决方案的优良性能.
재다속성결책영역중,경전평개지표객관부권적겁대적모형주요의거지표평개치적차이도진행부권,겁역도치대평개치차이도소적지표작출불중요(권치소)적착오판단,종이산생결책편차.대차,수선제출회관련심도계수적개념,이표정지표객관권중포함적신식량대소;동시운용겁대적이론건립평개지표객관권중적겁대적배치모형,이학정다속성결책지표권중,교호지해결료경전모형존재적엄중결함;최후통과실제안례적대비분석,험증료소제출해결방안적우량성능.
In the field of multiple attribute decision making, the classic weighing values for objective index using maximum entropy model are mainly based on the difference of the value of evaluation indexes, which easily results in the wrong judgment that some index is not important(small index weight) because of the small difference degree, so that the decision deviation is produced. The grey correlation deep coefficient is proposed to characterize the information size contained by objective index weight. And the maximum entropy optimization model of objective weight is established by combining with the maximum entropy criterion to compute the objective weight of multiple attribute decision, which solves the classic model’s serious defect better. Finally, the comparison analysis of the actual cases demonstrates the good performance of the proposed method.