1 Affiliation : Lahore Garrison University, Sec-C,Av-4, DHA Phase-VI, 54000 Lahore Pakistan
Email : firstname.lastname@example.org
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.
Neutrosophic Soft Set , NSM , Agriculture , Decision Making , Score function
 Zadeh , L.A. “Fuzzy sets,” Information and control, 8, pp.338-353, 1965.
 Yang, X. B., Lin, T. Y., Yang, J. Y., Li, Y. and Yu, D. “Combination of interval-valued fuzzy set and soft set,” Computers and Mathematics with applications, 58(3), pp.521-527, 2009.
 Pawlak, Z. “Rough set theory and its Applications to data analysis,” Cybernetics and Systems, 29(7), pp.661-668, 1998.
 Atanassov, K.T. “Intuitionistic fuzzy set,” Fuzzy sets and systems, 20(1), pp.86 -87, 1986.
 Smarandache, F. “A unifying Field in Logics. Neutrosophy; Neutrosophic probability, Set and Logic,” Rehoboth, American Research Press, 1998.
 Molodtsov , D. “Soft Set Theory First Results,” Computer and Mathematics with applications, 37, pp.19-31, 1999.
 Maji. P.K., Biswas, R. and Roy, A.R, “Fuzzy soft sets,” The Journal of fuzzy Mathematics, 9(3), pp.589-602, 2001.
 Maji, P. K., Biswas, R. and Roy, A.R. “Intuitionistic Fuzzy soft sets,” Journal of fuzzy mathematics, 12, pp.669-683, 2004.
 Cag̃man, N. and Enginoglu, S “Soft set-Theory and uniting Decision Making,” European Journal of Operational Research,20(7), pp.848-855, 2010.
 Cheitia, B. and Das, P.K, “Some results of intuitionistic fuzzy soft matrix theory,” Advances in applied Science Research, 3(1), pp.412-423, 2012.
 Mondal, I.J and Roy ,T.K, “Some Properties on intuitionistic Fuzzy Soft matrices,” International Journal of Mathematics Research, 5(2), pp.267-276, 2013.
 Mondal, I.J. and Roy.T.K. “Intuitionistic Fuzzy Soft Matrix theory and multi criteria in decision making base on T-Norm operators,” Mathematics and Statistics, 2(2), pp.55-61, 2014.
 Maji, P.K., “ Neutrosophic soft set,” Annuals of Fuzzy Mathematics and Informatics, 5(1), pp.157-168, 2013.
 Broumi, S., Deli, I., Smarandache, F “Interval valued Neutrosophic Parameterized Soft Set theory and its decision making,” Journal of new results in science, 7, pp.58-71, 2014.
 Broumi, S., Deli, I., Smarandache, F. “ Relations on interval valued Neutrosophic soft sets,” Journal of New results in science, 3(5), pp.0-1. 2014.
 Broumi, S., Mumtaz, A., Smarandache, F. “Mappings on Neutrosophic soft Expert sets,” Journal of new theory, 5, pp.26-42, 2015.
 Deli, I., Broumi, S. “ Neutrosophic soft sets and neutrosophic soft matrices based on decision making,” Journal of Intelligence and fuzzy Systems, 28, pp.2233-2241, 2014.
 Jafar, N.M., Faizullah, Shabbir., S, Alvi, F.M.S, Shaheen, L. “Intuitionistic Fuzzy Soft Matrices, Compliments and Their Relations with Comprehensive Study of Medical Diagnosis,” International Journal of Latest Engineering Research and Applications, 5(1), pp.23-30, 2020.
 Jafar, N.M., Muniba, K., Saeed, A., Abbas, S., Bibi, I. “Application of Sanchez’s Approach to Disease Identification Using Trapezoidal Fuzzy Numbers,” International Journal of Latest Engineering Research and Applications, 4(9), pp.51-57, 2019.
 Jafar, N.M., Saqlain, M., Saeed, M., Abbas, Q. “Application of Soft-Set Relations and Soft Matrices in Medical Diagnosis using Sanchez’s Approach,” International Journal of Computer Applications, 177(32), pp. 7-11, 2020.
 Riaz, M., Saeed, M., Saqlain, M., Jafar, N. “Impact of Water Hardness in Instinctive Laundry System Based on Fuzzy Logic Controller,” Punjab University Journal of Mathematics, 51(4), pp.73-84, 2019.
 Saqlain, M., Jafar, N., Riffat, A. “Smart Phone Selection by Consumers’ In Pakistan: FMCGDM Fuzzy Multiple Criteria Group Decision Making Approach,” Gomal University Journal of Research, 34 (1), pp.27-31.
 Saqlain, M., Jafar, N, Hamid, R.,Shahzad, A. “ Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis,” International Journal of Scientific & Engineering Research, 10(2), pp.789-792, 2019.
 Saqlain, M., Naz, K, Ghaffar, K, Jafar, N.M. “Fuzzy Logic Controller: The Impact of Water pH on Detergents,” Scientific Inquiry of Review 3(3), pp.16–29, 2019.
 Saqlain, M., Saeed, M., Ahmad, M. R., Smarandache, F. “Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application,” Neutrosophic Sets and Systems (NSS), 27, pp.131-137, 2019.
 Saeed, M., Zulqarnain, M. and Dayan, F. “TOPSIS analysis for the prediction of diabetes based on general characteristics of humans,” Int. J. of Pharm. Sci. and Research. 9, pp. 2932-2939, 2018.
 Mustafa, A.B.N., Ahmed, K.S., Ali, Z., Yit, B.W., Abidin, Z.A.A., Shariff, M.A.Z., “Agriculture produce sorting and grading using support vector machines and Fuzzy logic,” IEEE International Conference on signal and image Applications, 2009.
 Papagorgiou, I.E., Aggelopoulou, D.K., Gemtos, A.T., Nanos, D.G, “Yield prediction in Apples using fuzzy cognitive map learning Approach,” Computers and Electronics in Agriculture, 91, pp.19-29, 2013.
 Raj, V.A and Riganabanu, A, “An Application of Interval valued fuzzy matrices for finding the disease in plants,” International journal of computing algorithm, 3(3), pp.202-204, 2014.
 Neamtollahi, E., Vafabakshi, K., Jahansuz, R.M., Sharifzadeh, F. “Agricultural optima cropping pattern determination based on fuzzy system,” Fuzzy information and engineering, 9, pp.479-491, 2017.
 Mota, C.V, Damasceno, A.F, Leite, F.D, “Fuzzy clustering and fuzzy validity measures for knowledge discovery and decision making in agricultural engineering,” Computers and Electronics in Agriculture, 150, pp.118-124, 2018.
 Loganathan, C., Pushpalatha, V.”An application of interval valued fuzzy matrices in agricultural field,” International journal of mathematics and its applications, 6(3), pp. 387-397, 2018.
 Savarimuthu, J.S.M., Mahalakshmi, S.T. “On T-conorm and weighted T-conorm operators on intuitionistic fuzzy soft matrix and its application of multi-criteria decision making in agriculture,” International journal of applied engineering research, 14(3), 2019.
 Edalatpanah, S. A. “A Direct Model for Triangular Neutrosophic Linear Programming,” International Journal of Neutrosophic Science, Volume 1 , Issue 1, pp. 19-28 , 2020.
 Christianto, V., Smarandache, F., “Remark on Artificial Intelligence, humanoid and Terminator scenario: A Neutrosophic way to futurology,” International Journal of Neutrosophic Science, Volume 1 , Issue 1, pp.8-13 , 2020
 Smarandache, F., “NeutroAlgebra is a Generalization of Partial Algebra,” International Journal of Neutrosophic Science, Volume 2 , Issue 1, pp 08-17 , 2020.
 Schweizer, P. “Uncertainty: two probabilities for the three states of neutrosophy,” International Journal of Neutrosophic Science, Volume 2 , Issue 1, pp. 18-26 , 2020.