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A fuzzy approach to evaluation and management of therapeutic procedure in diabetes mellitus treatment

In this paper a new fuzzy model (FMOTPD2) is developed and by this model the measures of beliefs are determined so that one of the groups of possible therapeutic procedures is optimal for each patient of type 2 diabetes on hospital treatment. The choice of therapeutic procedure on individual level, which is one of the demands of modern medicine, means that each therapeutic procedure is to be evaluated by multiple and different criteria. | Yugoslav Journal of Operations Research Volume 20 (2010), Number 1, 99-116 10.2298/YJOR1001099T A FUZZY APPROACH TO EVALUATION AND MANAGEMENT OF THERAPEUTIC PROCEDURE IN DIABETES MELLITUS TREATMENT Danijela TADIĆ Faculty of Mechanical Engineering, University of Kragujevac galovic@kg.ac.rs Predrag POPOVIĆ Institute of Nuclear Science Vinča-Certification Body, University of Kragujevac kontelo@bg.ac.rs Aleksandar ĐUKIĆ Medical Faculty, University of Kragujevac adjukic@sbb.rs Received: November 2009 / Accepted: December 2009 Abstract: In this paper a new fuzzy model (FMOTPD2) is developed and by this model the measures of beliefs are determined so that one of the groups of possible therapeutic procedures is optimal for each patient of type 2 diabetes on hospital treatment. The choice of therapeutic procedure on individual level, which is one of the demands of modern medicine, means that each therapeutic procedure is to be evaluated by multiple and different criteria. In this paper, evaluation criteria are classified into two groups: (1) common criteria by which medicines used by the type 2 diabetes patients are being evaluated and (2) specific criteria, by which the patients’ 1h state of health with type 2 diabetes mellitus is being estimated. Generally, the relative importance and values of these criteria are different. It is assumed that (a) the relative importance of evaluation criteria is defined by a team of medical experts and described by linguistic expressions and (b) the values of evaluation criteria are determined by evidence data, anamnesis and a diagnostic process. They can be crisp or uncertain. The most often used linguistic 100 D., Tadić, P., Popović, A., Đukić / A Fuzzy Approach to Evaluation expressions describing the relative importance of evaluation criteria are modeled by triangular fuzzy numbers. The rest of uncertainties, which exist in developed model are described by discrete fuzzy numbers. A new algorithm for determining a unified .