Application of interval valued fuzzy matrices in medical diagnosis via a new approach

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Raich, V. V., Tripathi, R. K., Bawa, N. P. S., Dookhitram, K., Dalal, Dr.S. K.
Format: Conference Proceeding
Language:English
Subjects:
diarrhea
Diseases
fuzzy control
Fuzzy logic
Fuzzy set theory
Fuzzy sets
intersection
interval valued fuzzy matrix
Medical diagnosis
Medical diagnostic imaging
sup. union
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 ;, 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.
DOI:10.1109/ICMT.2011.6002135