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Fuzzy Diagnosis Procedure of the Types of Glaucoma

Vijay Kumar, Isha Bharti , Y. K. Sharma Published in Fuzzy Systems

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
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  1. Vijay Kumar, Isha Bharti and Y K Sharma. Article: Fuzzy Diagnosis Procedure of the Types of Glaucoma. International Journal of Applied Information Systems 1(6):42-45, February 2012. BibTeX

    	author = "Vijay Kumar and Isha Bharti and Y. K. Sharma",
    	title = "Article: Fuzzy Diagnosis Procedure of the Types of Glaucoma",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 1,
    	number = 6,
    	pages = "42-45",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"


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.


  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.


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