Issue:A possibility for implementation of elements of the intuitionistic fuzzy logic in decision making in medicine

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Title of paper: A possibility for implementation of elements of the intuitionistic fuzzy logic in decision making in medicine Author(s): Anthony Shannon University of Technology, Sydney, NSW 2007, Australia Soon-Ki Kim Department of Statistics, Chonbuk National University, Chonju, Chonbuk 561-756, Korea Chonju, Chonbuk 560-182, Korea@ Young Hyun Kim Department of Neurology, Chonbuk National University Medical School Joseph Sorsich 2-nd City Hospital, Ch. Botev Boul. 120, Sofia-1202, Bulgaria Krassimir Atanassov Centre of Biomedical Engineering — Bulgarian Academy of Sciences, Acad. G. Bonchev str., Bl. 105, Sofia-1113, Bulgaria krat@bas.bg Peter Georgiev Centre of Biomedical Engineering — Bulgarian Academy of Sciences, Acad. G. Bonchev str., Bl. 105, Sofia-1113, Bulgaria Presented at: 5th ICIFS, Sofia, 18—19 Oct. 1997 Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 3 (1997) Number 4, pages 40—43 Download:  PDF (2517  Kb, File info) Abstract: Diagnosis is central to the practice of medicine. The diagnosis is the process of determining the nature of a disorder by considering the patient's signs and symptoms, medical background, and - when necessary - results of laboratory tests and procedures. The physician makes decisions in a climate of uncertainty. He or she estimates the likelihood of disease and decides whether further tests or therapies are justified. The information used to modify the diagnostic hypothesis consists of the history, the pertinent physical examination, the results of laboratory tests and other diagnostic procedures. Thus, on the basis of information gathered at any moment about the patient, a decision on the subsequent movement of the patients is determined. Not infrequently there is a lack of precise information (e.g., history of birth trauma, kernicterus), or the information is ambiguous (results in the upper or the lower limits of the normal), or uncertain (family history), or doubtful (history of rheumatic fever). In a series of papers and two books [1,2] Generalized Net (briefly: GN; for the GNs see [3]) models of the processes of diagnostic are described. References: Shannon, A., J. Sorsich, K. Atanassov. Generalized Nets in Medicine. Academic Publishing House "Prof. M. Drinov", Sofia, 1996. Atanassov, K., M. Daskalov, P. Georgiev, S. Kim, Y. Kim, N. Nikolov, A. Shannon, J. Sorsich, Generalized Nets in Neurology. Academic Publishing House "Prof. M. Drinov", Sofia, 1997. Atanassov, K. Generalized Nets. World Scientific, Singapore, New Jersey, London, 1991. Atanassov, K. Two variants of intuitionistic fuzzy propositional calculus. - Preprint IM-MFAIS-5-88, Sofia, 1988. Atanassov, K., H. Bustince, M. Daskalov, S. Kim, A. Shannon, J. Sorsich. Generalized net models in neurology (NGN100: Findings of chorea and athetoid movements). Preprint MRL-MFAIS-2-95, Sofia, Oct. 6, 95, 26-29. Weisberg, L., R. Strub, C. Garcia. Decision Making in Adult Neurology, B. C. Decker, Toronto, 1993. Citations: Issue:On the implementation of elements of the intuitionistic fuzzy logic for decision making by medical generalized net models ‎ (← links) Issue:A system for medical diagnosis based on intuitionistic fuzzy relation ‎ (← links) Issue:Generalized net model of health unit activities (an intuitionistic fuzzy approach) ‎ (← links) The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.