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基于灰靶思想的不确定背景分类决策问题分析,本文提出了区间数灰靶分类决策模型。该模型将灰靶决策拓展到决策信息为区间数的情况,提出了区间数的靶心距测度方法;根据靶心距提出了灰靶分类决策中的靶心分类临界值设置方法;以决策对象的靶心距与临界值之间的偏差总量最小为目标,建立了指标权重和分类临界值的确定模型;依据求解的权重与分类临界值对决策对象集进行分类评价。算例分析验证了该模型的有效性和可行性,可以很好地解决决策对象众多、分类数不确定等特性的多属性分类决策问题。
Based on the analysis of uncertain background classification decision-making problems based on gray-target idea, this paper proposes gray-target classification decision model of interval number. This model expands the gray target decision to the interval number, and proposes a method to measure the target distance. Based on the target distance, this paper proposes a method for setting the target classification threshold in gray target classification decision-making. And the critical value of the minimum total deviation as the goal, the establishment of indicators weight and classification of the critical value of the model; based on the weight of the solution and the classification of the critical value of the decision-making set of objects for classification and evaluation. The case study shows that the model is valid and feasible, which can solve the multi-attribute classification decision-making problem with many decision-making objects and uncertain number of classification.