A Method for Medical Diagnosis using Intuitionistic Fuzzy Sets

Author:
SOURIAR SEBASTIAN1 and JAMES PHILIP2
Affiliation:

1St. Albert's College, Ernakulam - 682018, Kerala (INDIA)
2St. Dominic's College, Kanjirapally - 686512, Kerala (INDIA)
Email: souriarsebastian@gmail.com, 

Keyword:
Fuzzy Sets, Intuitionistic Fuzzy Sets, Hesitancy Grade, Similarity Measure, Singleton IFS, Derived Singleton IFS, Null IFS, Pseudo-null IFS, IF Relations, Medical Diagnosis.
Issue Date:
April 2012
Abstract:

Intuitionistic Fuzzy Theory was proposed by K.T. Atanassov in 1986. The theory has found wide applications in diverse fields including medical diagnosis. Sanchez proposed an approach for medical diagnosis using Fuzzy Set theory. De et al. developed this method for Intuitionistic Fuzzy Sets using composition of Intuitionistic Fuzzy Relations. In this paper we propose an alternate method by replacing the max-min composition of De et al. with a max-prod composition which seems more effective in decision making, especially in the field of medical diagnosis

Pages:
ISSN:
2319-8052 (Online) - 2231-3478 (Print)
Source:
DOI:
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Copy the following to cite this article:

SOURIAR SEBASTIAN1 and JAMES PHILIP2, "A Method for Medical Diagnosis using Intuitionistic Fuzzy Sets", Journal of Ultra Scientist of Physical Sciences, Volume 24, Issue 1, Page Number , 2016

Copy the following to cite this URL:

SOURIAR SEBASTIAN1 and JAMES PHILIP2, "A Method for Medical Diagnosis using Intuitionistic Fuzzy Sets", Journal of Ultra Scientist of Physical Sciences, Volume 24, Issue 1, Page Number , 2016

Available from: http://ultraphysicalsciences.org/paper/504/

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