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Object and attribute oriented m-polar fuzzy concept lattice using the projection operator

机译:使用投影算子的面向对象和属性的m极模糊概念格

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In the current decade, descriptive analysis of uncertainty existing in m-polar fuzzy attributes is addressed as one of the crucial tasks. To deal with these types of attributes mathematical algebra of m-polar fuzzy graph and its concept lattice representation was introduced recently. In this process, a problem is addressed when an expert wants to discover some useful pattern based on maximal acceptance of m-polar fuzzy attributes (or objects) for solving the particular issue of a given problem. To deal with this problem, the current paper focuses on drawing the object and attribute based m-polar fuzzy concept lattice using the projection operator. One of the suitable examples for the proposed method is also given with illustration of object and attribute based concepts. The analyses obtained from both of the proposed methods are compared with recently available approaches on handling the m-polar fuzzy attributes.
机译:在当前的十年中,描述性分析存在于m极模糊属性中被认为是关键任务之一。为了处理这些类型的属性,最近介绍了m极模糊图的数学代数及其概念格表示。在此过程中,当专家希望基于最大接受m极性模糊属性(或对象)来发现某些有用的模式以解决给定问题的特定问题时,便解决了该问题。为了解决这个问题,当前的论文集中在使用投影算子绘制基于对象和属性的m极模糊概念格。还给出了基于对象和属性的概念的示例,给出了所建议方法的合适示例之一。从这两种提议的方法获得的分析结果与最近可用的处理m极模糊属性的方法进行了比较。

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