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Multi-decision-makers-based Monotonic Variable Consistency Rough Set Approach with Multiple Attributes and Criteria

机译:基于多决策者的具有多个属性和条件的单调变量一致性粗糙集方法

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The paper separates decision expression system into three parts: the relation system, the decision-making system and the causal system by the perspective of Pansystems theory. In these three separated systems, the extended approach involves multiple types of attributes and many decision-makers, and it aims at modelling data expressed by monotonic variable consistency measures. Furthermore, the two referred thresholds, according to Bayes decision procedure that is applied by Decision Theoretic Rough Set, can be calculated directly. So the paper proposes Multi-decision-makers-based Monotonic Variable Consistency Rough Set Approach with Multiple Attributes and Criteria, and its properties are proposed and proved.
机译:本文从泛系统理论的角度将决策表达系统分为三个部分:关系系统,决策系统和因果系统。在这三个分离的系统中,扩展方法涉及多种类型的属性和许多决策者,其目的是对由单调变量一致性度量表示的数据进行建模。此外,根据决策理论粗糙集所应用的贝叶斯决策程序,可以直接计算两个参考阈值。为此,本文提出了基于多决策者的具有多属性和多准则的单调变量一致性粗糙集方法,并提出了其性质。

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