MOORA models based on new score function of interval-valued intuitionistic sets and apply to select materials for mushroom cultivation

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作   者：

Thao, Nguyen Xuan; 

作者机构：

Duy Tan Univ;  Inst Res & Dev;  Vietnam;  Danang 550000; 

关键词：

IVIFN-MOORA method;  Interval-valued intuitionistic fuzzy numbers;  Selection of materials; 

期刊名称：

Neural computing & applications

i s s n：

0941-0643

年卷期：

2021 年 33 卷 17 期

页   码：

10975-10985

页   码：

摘   要：

Interval-valued intuitionistic fuzzy numbers (IVIFNs) were proposed by Atanassov since the 1980s. They have been applied to many practical problems. One of the problems posed when research is the ranking of interval-valued intuitionistic fuzzy numbers to apply it to decision-making problems. But so far, there has not been a common method to rank two arbitrary IVIFNs. In this paper, we propose a new ranking function based on polynomial and exponential functions to rank fuzzy numbers. The numerical examples are illustrated to show the effectiveness of our proposed score function. In this paper, the multi-criteria decision-making models based on our proposed new score function are also presented namely MOORA models. We apply that model to the selection of materials for growing king oyster mushrooms in Vietnam.