梯形直觉模糊数的排序

2012 12th International Conference on Intelligent Systems Design and Applications (ISDA) Pub Date : 2012-11-01 DOI:10.1109/ISDA.2012.6416534

P. K. De, Debaroti Das

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引用次数: 34

摘要

简单模糊数排序的技术在自然界中是丰富的。然而，我们缺乏对直觉模糊数(IFN)进行排序的有效方法。提出了一种新的梯形直觉模糊数排序方法。为此，定义了trifn的值和模糊度指数。为了对trifn进行排序，我们定义了一个排序函数，取值和歧义指数的和。为了说明所提出的排序方法，给出了一个数值算例。

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Ranking of trapezoidal intuitionistic fuzzy numbers

Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined. In order to rank TRIFNs, we have defined a ranking function by taking sum of value and ambiguity index. To illustrate the the proposed ranking method a numerical example has been given.

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2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)

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