通过对质心指数方法的回顾，提出了一种改进的质心指数

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2013-11-01 DOI:10.1109/CINTI.2013.6705176

T. Hajjari

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引用次数: 1

摘要

模糊数排序在语言决策、数据分析等模糊应用系统中起着非常重要的作用。在过去的几十年里，人们研究了大量的模糊数排序方法。最常用的模糊数排序方法是基于模糊数质心的指标排序。然而，这些指数也存在一些弱点。本文提出了一种新的质心指数排序方法，能够有效地对各种类型的模糊数进行排序。本文给出了一个比较实例，说明了所提出的模糊数质心指数排序法的使用和优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An improved centroid-index by Reviewing on centroid-index methods

Ranking fuzzy numbers plays a very important role in linguistic decision making, data analysis and some other fuzzy application systems. The last decades have seen a large number of methods investigated for ranking fuzzy numbers. The most commonly used approached for ranking fuzzy numbers is ranking indices based on centroid of fuzzy numbers. However, there are some weakness associated with these indices. This paper, proposes a new centroid index ranking method that is capable of effectively ranking various types of fuzzy numbers. The contents herein present a comparative example demonstrating the usage and advantages of the proposed centroid index ranking method for fuzzy numbers.

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2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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