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An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction

机译:用于法线参数约简的区间值模糊软集方法

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Soft set theory in combination with the interval-valued fuzzy set has been proposed as the concept of the interval-valued fuzzy soft set. However, up to the present, few documents have focused on parameter reduction of the interval-valued fuzzy soft sets. In this paper, we propose a definition of normal parameter reduction of interval-valued fuzzy soft sets, which considers the problems of sub-optimal choice and added parameters. Then, a heuristic algorithm of normal parameter reduction for interval-valued fuzzy soft sets is presented. Finally, an illustrative example is employed to show our contribution.
机译:提出了结合区间值模糊集的软集理论作为区间值模糊集的概念。但是,到目前为止,很少有文献关注区间值模糊软集的参数约简。在本文中,我们提出了区间值模糊软集的正常参数约简的定义,其中考虑了次优选择和附加参数的问题。然后,提出了区间值模糊软集的正常参数约简的启发式算法。最后,通过一个示例性的例子来说明我们的贡献。

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