Fuzzy Diagnosis Procedure of the Types of Glaucoma

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]  Young-Hyun Kim,et al.  A Fuzzy Differential Diagnosis of Headache Applying Linear Regression Method and Fuzzy Classification , 2003 .

[2]  Krassimir T. Atanassov,et al.  Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.

[3]  B. Losch.  Application of fuzzy sets to the diagnosis of glaucoma , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Janusz Kacprzyk,et al.  A measure of similarity for intuitionistic fuzzy sets , 2003, EUSFLAT Conf..

[5]  Young-Hyun Kim,et al.  A Fuzzy Method for Medical Diagnosis of Headache , 2008, IEICE Trans. Inf. Syst..

[6]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[7]  Jing-Shing Yao,et al.  Fuzzy decision making for medical diagnosis based on fuzzy number and compositional rule of inference , 2001, Fuzzy Sets Syst..

[8]  Klaus-Peter Adlassnig,et al.  Fuzzy Set Theory in Medical Diagnosis , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  Janusz Kacprzyk,et al.  Intuitionistic fuzzy relations and measures of consensus , 2002 .

[10]  Ranjit Biswas,et al.  An application of intuitionistic fuzzy sets in medical diagnosis , 2001, Fuzzy Sets Syst..

[11]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .