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The measurement of membership by comparisons

机译:通过比较衡量成员资格

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摘要

Suppose we want to use a particular algebraic operation (for example, the drastic product t-norm) for representing an operation on fuzzy sets (for example, the intersection). This algebraic operation will be used with membership degrees, i.e. most of the time, numbers between 0 and 1. If we want that the results of our calculations make sense, we must be sure that the algebraic operation is compatible with the nature of the membership degrees, which is determined by the technique used to measure them. But this technique must, in turn, be compatible with the structural properties of the knowledge we want to represent. This paper addresses these issues within the framework of measurement theory. We provide sound theoretical foundations for the measurement of membership on ordinal and interval scales. But we also show that the level of measurement (ordinal, interval or even ratio) is not critical for the choice of a particular algebraic operation. Within measurement theory, whatever the scale, only the max and the min can be used for representing the intersection and the union. We also present some results about the complementation.
机译:假设我们要使用特定的代数运算(例如,大乘积t范数)来表示模糊集(例如,交集)上的运算。此代数运算将与隶属度一起使用,即大多数情况下,其数字在0到1之间。如果我们希望计算结果有意义,则必须确保代数运算与隶属度兼容度,由用于测量它们的技术确定。但是,该技术又必须与我们要表示的知识的结构属性兼容。本文在测量理论的框架内解决了这些问题。我们为在序数和区间标度上的隶属度测量提供了良好的理论基础。但是,我们还表明,度量水平(标准,间隔或偶数比率)对于选择特定的代数运算并不关键。在测量理论中,无论规模如何,都只能使用最大值和最小值来表示交集和并集。我们还提出了一些有关互补的结果。

著录项

  • 来源
    《Fuzzy sets and systems》 |2004年第2期|p.157-177|共21页
  • 作者

    T. Marchant;

  • 作者单位

    Department of Data Analysis, Faculty of Psychology and Education Science, Ghent University, Henri Dunantlaan 1, 9000 Ghent, Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 模糊数学;
  • 关键词

    membership; measurement;

    机译:成员资格;测量;

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