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The object of interest is to solve the problem of risk management of marine systems. But the main trouble is a lack of numerous and sure data on the reliability of the components of such systems. The methods based on the fuzzy logic seem to be helpful here. The goal of the article is to check the effect of using different fuzzy inference rules and methods of defuzzification on the final result of reliability assessment. The three rules of inference are taken into account: the Mamdani rule, the Larsen rule and the Tsukamoto rule. The second problem is the method of defuzzification of the result given in the form of fuzzy number into the real number. The several methods of defuzzification are discussed. The examples of using the above inference rules and defuzzification methods are presented.
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