DocumentCode :
3031305
Title :
Application of interval valued fuzzy matrices in medical diagnosis via a new approach
Author :
Raich, V.V. ; Tripathi, R.K. ; Bawa, N.P.S. ; Dookhitram, K. ; Dalai, S.K.
Author_Institution :
Gov. Holkar Sci. Coll., Dept. of Math., D.A. Univ., Indore, India
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
3440
Lastpage :
3443
Abstract :
The concept of interval valued fuzzy matrices (IVFM), which is a generalization of fuzzy matrix and still in its infant stage, plays a crucial role in networks, document retrieval system, medical diagnosis, database management system, decision-making theory, control theory and dynamical systems. In this paper, we propose a new approach, denoted as <;R|V>;, for the multiplication of IVFM, and we use this technique for predicting the stages (mild, moderate or severe) of diarrhea. This technique is more suitable than the composition (max. min.) to diagnose a disease and enable the physicians to have a better analytic understanding of present diagnostic process of diarrhea.
Keywords :
diseases; fuzzy set theory; matrix algebra; patient diagnosis; diarrhea stage prediction; disease dignosis; interval valued fuzzy matrices application; medical diagnosis; Diseases; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Medical diagnosis; Medical diagnostic imaging; diarrhea; fuzzy control; fuzzy sets; intersection; interval valued fuzzy matrix; sup. union;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002135
Filename :
6002135
Link To Document :
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