Abstract
Neutrosophic soft set is a mathematical technique to solve the uncertainties and imprecisions and for decision making problems. In this paper, it is intended to use Neutrosophic soft relations and compliments for medical diagnosis. This paper deals with the symptoms, patients and diseases and then by using compliment algorithm to diagnose the disease.
Highlights
The numerical model is excessively mind boggling, the particular result can't be found. To resolve these complexities many theories were introduced namely Probability theory, Fuzzy set theory introduced by LotfiZadeh in 1965[20]
Interval valued fuzzy set (IVFS) in 1975[21], Rough set theory developed by Z.Pawlak in 1982[10, 11],Intuitionistic sets were introduced by KassimirrAtanassov in 1983 [7], Neutrosophic sets were proposed by Smarandachein 1998 [18, 19] It is more powerful deals with truthiness, indeterminacy and falseness which exist in the real world
Molodtsov presented Soft set theory in 1999[8].In 2010, Intuitionistic fuzzy matrices have been derived by Maji.et al[9] use these terms for decision making.Jafar et al (2019) [2] use soft matrices to disease identification, in this paper we enhance the same work and use Neutrosophic soft matrices relations and their complement for the purpose of medical diagnosis
Summary
There are many phases oflife in which we face the Uncertainty, Vagueness, complexities and unpredictability. Abstract: Neutrosophic soft set is a mathematical technique to solve the uncertainties and imprecisions and for decision making problems. It is intended to use Neutrosophic soft relations and compliments for medical diagnosis. This paper deals with the symptoms, patients and diseases and by using compliment algorithm to diagnose the disease.
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