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针对属性值是不平衡语言的多属性决策问题,提出了广义依赖型不平衡语言有序加权平均算子和加权广义依赖型不平衡语言有序加权平均算子.该类算子相关联的权重向量赋权的特点是对有偏见的评价赋予较小的权重,从而削弱不公平性对评价结果的影响,使决策结果更加合理.推导其数学表达式,探讨相关性质,并将其应用到多属性决策中.同时,分析了参数λ的变化对决策结果的影响.最后通过比较分析结果表明了所提出算子的有效性.
Aiming at the multi-attribute decision-making problem that the attribute value is unbalanced language, an orderly weighted average operator with generalized dependent unbalanced language ordered weighted average operator and weighted generalized dependent unbalanced language is proposed. The weights associated with such operators The characteristic of vector weighting is to give less weight to the biased evaluation, so as to weaken the impact of unfairness on the evaluation results and make the decision-making result more reasonable. The mathematical expressions are deduced, the related properties are discussed and applied to more Attribute decision.At the same time, the influence of the change of parameter λ on the decision result is analyzed.At last, the validity of the proposed operator is proved by the comparative analysis.