>
Fa   |   Ar   |   En
   Minimal Solution of Fuzzy Neutrosophic Soft Matrix  
   
Ω†ΩˆΫŒΨ³Ω†Ψ―Ω‡ Kavitha M. ,Murugadas P. ,Sriram S.
Ω…Ω†Ψ¨ΨΉ Journal Of Linear And Topological Algebra - 2017 - Ψ―ΩˆΨ±Ω‡ : 6 - Ψ΄Ω…Ψ§Ψ±Ω‡ : 2 - ءفحه:171 -190
Ϊ†Ϊ©ΫŒΨ―Ω‡    The aim of this article is to study the concept of unique solvability of maxmin fuzzy neutrosophic soft matrix equation and strong regularity of fuzzy neutrosophic soft matrices over fuzzy neutrosophic soft algebra (𝐹𝑁𝑆𝐴). a fuzzy neutrosophic soft matrix (𝐹𝑁𝑆𝑀) is said to have strong, linear independent (𝑆li) column (or, in the case of fuzzy neutrosophic soft square matrices, to be strongly regular) if for some fuzzy neutrosophic soft vector b the system π΄βŠ—x = b has a unique solution. a necessary and sufficient condition for linear system of equation over a 𝐹𝑁𝑆𝐴 to have a unique solution is formulated and the equivalent condition for fnsm to have 𝑆𝐿𝐼 column and strong regular (𝑆𝑅) are presented. moreover trapezoidal algorithm for testing these properties is reviewed.
Ϊ©Ω„ΫŒΨ―ΩˆΨ§Ϊ˜Ω‡ Fuzzy Neutrosophic Soft Set (𝐹𝑁𝑆𝑆) ,Fuzzy Neutrosophic Soft Matrix (𝐹𝑁𝑆𝑀s) ,Linear System Of Equation ,Unique Solvability ,Strong Regularity Algorithms
Ψ’Ψ―Ψ±Ψ³ Annamalai University, Department Of Mathematics, India, Government Arts College (Autonomous), Department Of Mathematics, India, Annamalai University, Directorate Of Distance Education, India
ΩΎΨ³Ψͺ Ψ§Ω„Ϊ©ΨͺΨ±ΩˆΩ†ΫŒΪ©ΫŒ ssm_3096@yahoo.co.in
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved