Vague集综合评价中单值指标规范化研究

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不同指标值的规范化是使用Vague集综合评价的第一步.针对现有算法的不足,根据Vague集理论,提出了效益型、成本型、固定型、区间型、偏离型、偏离区间型等六种类型单值指标Vague集规范化新算法,通过实例验证了新规范化算法的有效性,合理性和高分辨性. The normalization of different index values ​​is the first step in the comprehensive evaluation using Vague sets.According to the deficiency of the existing algorithms, according to the Vague set theory, the author puts forward some effective measures, such as benefit type, cost type, fixed type, interval type, deviation type, The new type normalized Vague set normalization algorithm is validated by examples. The validity, rationality and high resolution of the new normalized algorithm are verified by examples.
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