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For ranking both the type-1 fuzzy numbers and interval type-2 fuzzy numbers, the proposed methods are easy to understand and their computations are simple.
We propose a new method for ranking fuzzy numbers by distance method. Our method is based on calculating the centroid point, where the distance means from ...
Abstract: A concept of interval type-2 fuzzy numbers is introduced in decision making analysis as this concept is capable to effectively deal with the ...
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Compared with the ranking methods for type-1 fuzzy numbers, the ranking methods for interval type-2 fuzzy numbers are far less. Mitchell [22] proposed a method ...
Jul 27, 2023 · This paper introduces a new fuzzy distance based on a novel interval distance that considers all points within the intervals by using the concept of ...
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In this paper, we use the nearest point of support function for ranking fuzzy numbers, and the calculation is very simple.
For ranking both the type-1 fuzzy numbers and interval type-2 fuzzy numbers, the proposed methods are easy to understand and their computations are simple.
A distance based ranking methods for type-1 fuzzy numbers and interval type-2 fuzzy numbers. from www.semanticscholar.org
This work proposes a new method of ranking generalized LR type fUzzy nwnber by using graded mean integration representation, and proves some ranking properties.
I. INTRODUCTION. Decision making problems need the processing of information for getting an optimal solution for a specific situation.
Zadeh [1] introduced fuzzy set as a mathematical way of representing impreciseness or vagueness in everyday life. The concept of Intutitionistic fuzzy set[4 ...