Volume 3 , Issue 2, PP: 78-88 , 2020 | Cite this article as | XML | Html |PDF

1 **Affiliation :
**Lahore Garrison University, Sec-C,Av-4, DHA Phase-VI, 54000 Lahore Pakistan

** Email : **naveedjafar@lgu.edu.pk

**Abstract : **

Uncertainty is a big problem in our routine life. Many theories were developed to handle uncertain environments. This paper approaches the concept of neutrosophic soft matrices (NSM) and multiple types of NSM to achieve solutions to a possible problem and provide ideas to tackle other problems relating to uncertainties. Here, NSM has been utilized to demonstrate the performance of different farmers, and further score function has been implemented to solve a possible application of decision making in agriculture. It explains the selection of the best farmer by scientific experts through an algorithm in this paper. The selection based upon the better production of crop and nature, fertilizer, pesticides, etc. are used as attributes, which will contribute to the performance of each farmer. Finally, combining the attributes, which will help us achieve a conclusion to determine the best farmer.

**Keywords : **

Neutrosophic Soft Set , NSM , Agriculture , Decision Making , Score function

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Muhammad Naveed Jafar*, Muhammad Saqlain, Ahmad Raza Shafiq, Muhammad Khalid, Hamza Akbar, Aamir Naveed,