In this paper we introduce matrice represantation of fuzzy soft sets. By using the notion of fuzzy soft matrices, we apply fuzzy soft set technology through the well known Sanchez’s [8] approach for medical diagnosis. Also we exhibit the technique with a hypothetical case study.
Z. Pawlak, Rough sets, Int. J. Inf. Comp. Sci., 11, 341-356, (1982).
D. Molodtsov, Soft set theory-first result, Computers and Mathematics with Applications, 37, 19-31, (1999).
P.K. Maji, R. Biswas and A.R. Roy, Fuzzy Soft Set, The Journal of Fuzzy Mathematics, 9(3), 677-692, (2001).
T.J. Neog and D.K. Sut, Theory of Fuzzy Soft Sets From a New Perspective, International Journal of Latest Trends in Computing, 2(3), 439-450, (2011).
S.K. De, R. Biswas and A.R. Roy, An Application of Intuitionistic fuzzy sets in medical diagnosis, Fuzzy Sets and Systems, 117, 209-213, (2001).
E. Sanchez, Resolution of composite fuzzy relation equations, Information and control, 30, 38-48, (1976).
E. Sanchez, Inverse of fuzzy relations, Application to possibility distributions and medical diagnosis, Fuzzy Sets and Systems, 2(1), 75-86, (1979).
B.K. Saikia, P.K. Das and A.K. Borkakati, An Application of Intuitionistic fuzzy soft sets in medical diagnosis, Bio Science Research Bulletin, 19(2), 121-127, (2003).
B. Chetia and P.K. Das, An Application of Interval valued fuzzy soft set in medical diagnosis, Int.J.contempt. math. sciences, 5(38), 1887-1894,(2010).
A.R. Meenakshi and M. Kaliraja, An Application of Interval Valued Fuzzy Matrices in Medical Diagnosis, Int. Journal of Math. Analysis, 5(36), 1791-1802, (2011).
MI. Ali and M. Shabir Comments on De Morgan’s law in fuzzy soft sets. J. Fuzzy Math., 18(3), 679-686, (2010).
Z. Pawlak, Rough sets, Int. J. Inf. Comp. Sci., 11, 341-356, (1982).
D. Molodtsov, Soft set theory-first result, Computers and Mathematics with Applications, 37, 19-31, (1999).
P.K. Maji, R. Biswas and A.R. Roy, Fuzzy Soft Set, The Journal of Fuzzy Mathematics, 9(3), 677-692, (2001).
T.J. Neog and D.K. Sut, Theory of Fuzzy Soft Sets From a New Perspective, International Journal of Latest Trends in Computing, 2(3), 439-450, (2011).
S.K. De, R. Biswas and A.R. Roy, An Application of Intuitionistic fuzzy sets in medical diagnosis, Fuzzy Sets and Systems, 117, 209-213, (2001).
E. Sanchez, Resolution of composite fuzzy relation equations, Information and control, 30, 38-48, (1976).
E. Sanchez, Inverse of fuzzy relations, Application to possibility distributions and medical diagnosis, Fuzzy Sets and Systems, 2(1), 75-86, (1979).
B.K. Saikia, P.K. Das and A.K. Borkakati, An Application of Intuitionistic fuzzy soft sets in medical diagnosis, Bio Science Research Bulletin, 19(2), 121-127, (2003).
B. Chetia and P.K. Das, An Application of Interval valued fuzzy soft set in medical diagnosis, Int.J.contempt. math. sciences, 5(38), 1887-1894,(2010).
A.R. Meenakshi and M. Kaliraja, An Application of Interval Valued Fuzzy Matrices in Medical Diagnosis, Int. Journal of Math. Analysis, 5(36), 1791-1802, (2011).
MI. Ali and M. Shabir Comments on De Morgan’s law in fuzzy soft sets. J. Fuzzy Math., 18(3), 679-686, (2010).
Celik, Y., & Celik, İ. (2016). A framework for medical diagnosis via fuzzy soft matrices. New Trends in Mathematical Sciences, 4(2), 248-256.
AMA
Celik Y, Celik İ. A framework for medical diagnosis via fuzzy soft matrices. New Trends in Mathematical Sciences. Mart 2016;4(2):248-256.
Chicago
Celik, Yildiray, ve İlknur Celik. “A Framework for Medical Diagnosis via Fuzzy Soft Matrices”. New Trends in Mathematical Sciences 4, sy. 2 (Mart 2016): 248-56.
EndNote
Celik Y, Celik İ (01 Mart 2016) A framework for medical diagnosis via fuzzy soft matrices. New Trends in Mathematical Sciences 4 2 248–256.
IEEE
Y. Celik ve İ. Celik, “A framework for medical diagnosis via fuzzy soft matrices”, New Trends in Mathematical Sciences, c. 4, sy. 2, ss. 248–256, 2016.
ISNAD
Celik, Yildiray - Celik, İlknur. “A Framework for Medical Diagnosis via Fuzzy Soft Matrices”. New Trends in Mathematical Sciences 4/2 (Mart 2016), 248-256.
JAMA
Celik Y, Celik İ. A framework for medical diagnosis via fuzzy soft matrices. New Trends in Mathematical Sciences. 2016;4:248–256.
MLA
Celik, Yildiray ve İlknur Celik. “A Framework for Medical Diagnosis via Fuzzy Soft Matrices”. New Trends in Mathematical Sciences, c. 4, sy. 2, 2016, ss. 248-56.
Vancouver
Celik Y, Celik İ. A framework for medical diagnosis via fuzzy soft matrices. New Trends in Mathematical Sciences. 2016;4(2):248-56.