Abstract

This chapter discusses fuzzy logic, fuzzy linear programming (FLP), fuzzy multicriteria decision analysis (MCDA), and their application in medicine. Fuzzy logic is a soft-computing technique that studies reasoning systems in which the notions of truth and falsehood are considered in a graded fashion. Fuzzy logic is suitable for developing knowledge-based systems in medicine and also in tasks such as diagnosis of diseases, selection of medical treatments, and real-time monitoring of patients' data. Fuzzy logic has several modeling approaches, such as linear programming, nonlinear programming, geometric programming, dynamic programming, and integer programming. These approaches are combined with fuzzy logic to create an optimum point under vague conditions, which gives a more flexible option to the decision-maker. Fuzzy multicriteria decision analysis (MCDA) has been employed in medicine because of its efficiency and effectiveness at evaluating alternatives with multiple conflicting criteria.

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