论文标题
从间隔值数据中的汇总模糊数字排名的方法
Methods of ranking for aggregated fuzzy numbers from interval-valued data
论文作者
论文摘要
本文主要提出了两种使用间隔协议方法（IAA）从间隔中对汇总模糊数进行排名的方法。这项研究中提出的两种排名方法包含了先前提出的相似性度量的组合和应用，以及新颖的属性与间隔值数据的汇总模糊数字的属性。使用合成和现实世界的应用说明了先前措施的缺点，以及提出方法的改进。现实世界的应用程序对与理想解决方案（TOPSIS）算法相似的偏好顺序进行了尊重的技术，该算法已修改为包括以前和新提出的方法。
This paper primarily presents two methods of ranking aggregated fuzzy numbers from intervals using the Interval Agreement Approach (IAA). The two proposed ranking methods within this study contain the combination and application of previously proposed similarity measures, along with attributes novel to that of aggregated fuzzy numbers from interval-valued data. The shortcomings of previous measures, along with the improvements of the proposed methods, are illustrated using both a synthetic and real-world application. The real-world application regards the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm, modified to include both the previous and newly proposed methods.
