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Assignment Reductions in Inconsistent Ordered Intuition Fuzzy Information Decision Tables

机译:有序直觉模糊信息决策表中的分配减少

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In the real-world, most information systems are based on dominance relations and may be inconsistent. Moreover,taking the imprecise evaluations in the description of objects into account, intuition fuzzy information systems are introducedto handle with this problem. In this paper, attribute reductions are discussed in inconsistent ordered intuitionfuzzy information decision tables. The concept of assignment reductions is proposed which meet different requirements ofthe existed reductions. Practical approach to compute this kind of reductions is presented by introducing of discernablematrix and discernable function. Moreover, a toy example is employed to illustrate the feasibility of the approach.
机译:在现实世界中,大多数信息系统是基于优势关系的,并且可能不一致。此外,考虑到对象描述中的不精确评估,引入了直觉模糊信息系统来解决该问题。在本文中,在不一致的有序直觉模糊信息决策表中讨论了属性约简。提出了减少分配的概念,以满足现有减少的不同要求。通过引入可分辨矩阵和可分辨函数,给出了计算这种减少量的实用方法。此外,以玩具为例说明了该方法的可行性。

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