Fuzzy logics and medical diagnosis of nursing assessment

  • U Dev Department of Mathematics, Edward College, Pabna
  • A Sultana Department of Mathematics, Jahangirnagar University, Savar, Dhaka
  • NK Mitra Faculty of Mathematics & Physical Sciences, Bangladesh University of Business & Technology, Mirpur, Dhaka
Keywords: Intervention, Antibiotics, Intravenous analgesia, Anti-emetics, Frail, Sedation, Linguistic, Paradigm, Complicating factor, Moderate, Overall condition


This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and / or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The solutions use a variety of fuzzy methods including clustering, fuzzy set aggregation and type- 2 fuzzy set and Type-2 fuzzy relation modeling of linguistic approximations. It is concluded that the fuzzy approach to the development of artificial intelligence in application systems is beneficial in these contexts because of the need to focus on uncertainty as a main issue.

DOI: http://dx.doi.org/10.3329/bjsir.v49i4.22631

Bangladesh J. Sci. Ind. Res. 49(4), 271-274, 2014


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How to Cite
Dev, U., Sultana, A., & Mitra, N. (2015). Fuzzy logics and medical diagnosis of nursing assessment. Bangladesh Journal of Scientific and Industrial Research, 49(4), 271-274. https://doi.org/10.3329/bjsir.v49i4.22631