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在基于粗糙集理论或扩展粗糙集理论的不确定性管理决策中,仅由数据集无法获得决策表,同时决策属性呈现模糊性,以至于无法获取概率决策规则。鉴于此,本文构建了灰色定权聚类与粗糙集变精度的杂合模型,首先运用基于中心点三角白化权函数的灰色定权聚类方法对包含不同量纲指标的知识表示系统进行处理,生成多属性决策表,而后运用变精度粗糙模糊集进行决策分析,获取概率决策规则。最后以区域关键技术选择为例,表明该模型的可行性与实用性。
In the uncertain management decision based on rough set theory or extended rough set theory, the decision table can not be obtained only from the data set, and the decision attributes are ambiguous so that the probability decision rules can not be obtained. In view of this, this paper constructs a hybrid model of gray fixed weight clustering and rough set variable precision. Firstly, a gray fixed weight clustering method based on the center point trigonometric weighting function is used to process the knowledge representation system with different dimensional indexes. Generate multi-attribute decision table, and then use the variable precision rough fuzzy sets to make decision analysis and get the probability decision rules. At last, taking the key regional technology selection as an example, the feasibility and practicability of this model are demonstrated.