Ranking of trapezoidal intuitionistic fuzzy numbers

P. K. De, Debaroti Das
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引用次数: 34

Abstract

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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梯形直觉模糊数的排序
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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