• 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