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Ordinary fuzzy sets have been expanded into several varieties, including type 2 fuzzy, intuitionistic fuzzy, hesitant fuzzy, and others, to assist us model uncertainty. For every element in an Intuitionistic Fuzzy Set (IFS), there are membership and non-membership functions. Intuitionistic Fuzzy Numbers (IFNs) plays a vital role in many applications. In this paper, a new ranking approach of IFNs were done based on nagel points. The proposed new ranking was validated by certain results and numerical examples. In last section, we put the suggested ranking principle into practice for the installation of an aeronautical research organization center through a case study.
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