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ON DOMINANCE RELATIONS IN DISJUNCTIVE SET-VALUED ORDERED INFORMATION SYSTEMS

机译:有序集值有序信息系统中的优势关系研究

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Set-valued information systems are generalized models of single-valued information systems. Its semantic interpretation can be classified into two categories: disjunctive and conjunctive. We focus on the former in this paper. By introducing four types of dominance relations to the disjunctive set-valued information systems, we establish a dominance-based rough sets approach, which is mainly based on the substitution of the indiscernibility relation by the dominance relations. Furthermore, we develop a new approach to sorting for objects in disjunctive set-valued ordered information systems, which is based on the dominance class of an object induced by a dominance relation. Finally, we propose criterion reductions of disjunctive set-valued ordered information systems that eliminate only those information that are not essential from the ordering of objects. The approaches show how to simplify a disjunctive set-valued ordered information system. Throughout this paper, we establish in detail the interrelationships among the four types of dominance relations, which include corresponding dominance classes, rough sets approaches, sorting for objects and criterion reductions. These results give a kind of feasible approaches to intelligent decision making in disjunctive set-valued ordered information systems.
机译:集值信息系统是单值信息系统的通用模型。它的语义解释可以分为两类:析取和析取。在本文中,我们重点讨论前者。通过将四种类型的支配关系引入到析取集值信息系统中,我们建立了一种基于支配性的粗糙集方法,该方法主要基于用支配关系代替不可分辨关系。此外,我们还开发了一种新方法,用于对离散集值定序信息系统中的对象进行排序,该方法基于由优势关系引起的对象的优势类别。最后,我们提出了析取集值有序信息系统的准则约简,该准则约简仅消除了对象排序中不必要的那些信息。这些方法显示了如何简化析取集值定序信息系统。在整个本文中,我们详细建立了四种类型的优势关系之间的相互关系,包括相应的优势类别,粗糙集方法,对象排序和准则约简。这些结果为相干集值有序信息系统中的智能决策提供了一种可行的方法。

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