Agricultural and Sustainable Resource Management with Euclidean Distance Measure on Generalized Set Valued Neutrosophic Quintuple Number

In this paper, we define a generalized Euclidean distance measure based on generalized set valued neutrosophic quintuple numbers. It is shown that the Euclidean distance measure satisfies the distance conditions. Furthermore, an algorithm based on generalized set-valued neutrosophic quintuple numbers, and the Euclidean distance measure is given. Furthermore, a multi-criteria decision making application for this generalized algorithm is presented. Finally, a real example from daily life is presented to demonstrate the applicability and usability of the proposed multi-criteria decision making method and compared with different methods. In this application, we have examined some plants with high economic return and ranging from the food sector to the pharmacology sector. We have examined which or which of these plants grow best under the criteria we have determined in the cities in our sample, where these plants are not known to grow. Thus, we can say that this application can be used in plant selection due to its result and structure.