ISSN: 2375-3927
International Journal of Mathematical Analysis and Applications  
Manuscript Information
 
 
Intuitionistic Fuzzy Set and Its Application in Selecting Specialization: A Case Study for Engineering Students
International Journal of Mathematical Analysis and Applications
Vol.2 , No. 6, Publication Date: Dec. 17, 2015, Page: 74-78
1625 Views Since December 17, 2015, 2688 Downloads Since Dec. 17, 2015
 
 
Authors
 
[1]    

A. M. Kozae, Department of Mathematics, Faculty of Science, Tanta University, Egypt, Tanta.

[2]    

Assem Elshenawy, Department of Physics and Engineering Mathematics, Faculty of Engineering, Tanta University, Egypt, Tanta.

[3]    

Manar Omran, Department of Physics and Engineering Mathematics, Faculty of Engineering, Tanta University, Egypt, Tanta.

 
Abstract
 

Intuitionistic fuzzy set (IFS) is useful in providing a flexible model to elaborate uncertainty and vagueness involved in decision making. In this paper, we reviewed the concept of IFS and proposed its application in selecting specialization. A case study for engineering students is explained in details. We give a method for computing degrees of membership and non-membership using given data. The suggested method can be applied in many similar real life situations.


Keywords
 

Fuzzy Sets, Intuitionistic Fuzzy Sets, Specialization Choice, Specialization Determination


Reference
 
[01]    

A.M. Kozae, H.M. Abodonia, Granular computing, bi approximation spaces, 2005 IEEE international conference on Granular computing,1,167- 170.

[02]    

E. Szmidt, Distances and similarities in intuitionistic fuzzy sets, Springer (2014).

[03]    

E. Szmidt, J. Kacprzyk, Distances between intuitionistic fuzzy Sets, Fuzzy Sets and Systems 114 (3) (2000) 505-518.

[04]    

E. Szmidt, J. Kacprzyk, Intuitionistic fuzzy sets in some medical applications, Note on IFS 7 (4) (2001) 58-64.

[05]    

E. Szmidt, J. Kacprzyk, Medical diagnostic reasoning using a similarity measure for intuitionistic fuzzy sets, Note on IFS 10 (4) (2004) 61-69.

[06]    

E. Szmidt, J. Kacprzyk, On measuring distances between intuitionistic fuzzy Sets, Notes on IFS 3 (4) (1997) 1-3.

[07]    

K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20(1986) 87-96.

[08]    

K.T. Atanassov, Intuitionistic fuzzy sets: theory and application, Springer (1999).

[09]    

K.T. Atanassov, Intuitionistic fuzzy sets, VII ITKR's Session, Sofia, 1983.

[10]    

K.T. Atanassov, New operations defined over intuitionistic fuzzy sets,Fuzzy Sets and Systems Vol. 61, 2 (1994) 137-142.

[11]    

K.T. Atanassov, On Intuitionistic fuzzy sets, Springer (2012).

[12]    

L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.

[13]    

MEA El-Monsef, A M Kozae, Al El-Maghrabi, Some Semi topological applications on rough set, J.Egypt Math. Soc12, 45-53, 2004.

[14]    

S. K. De, R. Biswas, A.R. Roy, An application of intuitionistic fuzzy sets in medical diagnostic, Fuzzy sets and systems 117 (2) (2001) 209-213.

[15]    

T. K. Shinoj, J. J. Sunil, Intuitionistic Fuzzy multisets and its application in medical diagnosis, International journal of mathematical and computational sciences 6(2012)34-38.

[16]    

W. Wang, X. Xin, Distance measure between intuitionistic fuzzy sets.Pattern Recognition Letters 26 (2005) 2063-2069.





 
  Join Us
 
  Join as Reviewer
 
  Join Editorial Board
 
share:
 
 
Submission
 
 
Membership