EST

Call for paper
April Edition 2017

International Journal of Applied Information Systems solicits high quality original research papers for the
March 15, 2017
April 2017 Edition of the journal.
The last date of research paper submission is
March 15, 2017
SUBMIT YOUR PAPER

Number 6

Fuzzy Diagnosis Procedure of the Types of Glaucoma

journal image
 Download
1336

Export

  • Vijay Kumar and Isha Bharti and Y. K. Sharma 2012. Fuzzy Diagnosis Procedure of the Types of Glaucoma. International Journal of Applied Information Systems. 1, 6 (February 2012), 42-45. DOI=http://dx.doi.org/10.5120/ijais450191 
  • @article{10.5120/ijais2017451568,
author = {Vijay Kumar and Isha Bharti  and Y. K. Sharma },
title = {Fuzzy Diagnosis Procedure of the Types of Glaucoma},
journal = {International Journal of Applied Information Systems},
issue_date = {February 2012},
volume = {1},
number = {},
month = {February},
year = {2012},
issn = {},
pages = {42-45},
numpages = {},
url = {/archives/volume1/number6/101-0191},
doi = { 10.5120/ijais12-450191},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450191
%A Vijay Kumar
%A Isha Bharti 
%A Y. K. Sharma 
%T Fuzzy Diagnosis Procedure of the Types of Glaucoma
%J International Journal of Applied Information Systems
%@ 
%V 1
%N 
%P 42-45
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

In this paper, we propose a fuzzy method for the diagnosis of the types of glaucoma. This method is based on the relations between the symptoms and diseases by intuitionistic fuzzy sets (IFS). For this purpose, we develop a hypothetical medical information with assigned degree of membership and degree of non-membership based on the relation between symptoms and various types of glaucoma.

References

  1. Adlassnig K.P. Fuzzy set theory in medical diagnosis. IEEE Transactions on Systems, Man, and Cybernetics SMC 1986; vol.16: 260-265.
  2. Ahn J.Y., Kim Y.H. , Mun K.S. , S.Y. Oh, B.S Han. A fuzzy method for diagnosis of headache. IEICE Trans. INF. & SYST.; E.
  3. Ahn J.Y., Kim Y.H., Kim S.K.. A fuzzy differential diagnosis of headache applying linear regression method and fuzzy classification. IEICE Trans. INF. & SYST. 2003; E86-D: 2790-2793.
  4. Atanassov K. Intuitionistic fuzzy sets. Fuzzy Sets and Systems; 20: 87-96.
  5. Atanassov K. Intuitionistic Fuzzy Sets: Theory and Applications. Physica -Verlag.; 63.
  6. Biswas R. Intuitionistic fuzzy relations. Bull. Sous. Ens. Flous. Appl. (BUSEFAL) 1986; 70: 22-29.
  7. Kumar S., Biswas R., Roy A.R.. An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets and Systems 2001; 117: 209-213.
  8. Losch Breton . Appl. of Fuzzy Sets to the Diagnosis of Glaucoma. 18th Ann. Intel. Conf. of the IEEE Engg. in Medicine and Biology Society, Amsterdam 1997.
  9. Szmidt E., Kacprzyk J.. A measure for Intuitionistic Fuzzy Sets. Fuzzy sets and systems 2003; 121.
  10. Yao J.F, Yao J.S.. Fuzzy decision making for medical diagnosis based on fuzzy number and compositional rule of inference. Fuzzy Sets and Systems 2001; 120: 351-366.
  11. Zadeh L A. Fuzzy Sets. Information and control 1965; 8: 338-353.

Keywords

Intuitionistic fuzzy sets(IFS), Fuzzy relations, Medical information.

Index Terms

Computer Science
Information Sciences