Effect of adotped rules of inference and methods of defuzzification on the final result of evaluation of reliability made using the fuzzy logic methods

• Autorzy: Liberacki R.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

marine systems, reliability data, fuzzy sets, inference rules, defuzzification methods

• Wydawca: Faculty of Ocean Engineering and Ship Technology, Gdańsk University of Technology
• Czasopismo: Journal of Polish CIMAC
• Rocznik: 2011
• Tom: Vol. 6, no 2
• Strony: 157--162
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Liberacki R.

• Gdansk University of Technology ul. Narutowicza 11/12, 80-950 Gdańsk, Poland tel.: [phone], fax: [phone],

Bibliografia

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• [2] Duzinkiewicz, K., Wybrane modele rozmyte i schematy wnioskowania, Politechnika Gdańska, Gdańsk 2010/11.
• [3] Shoureshi, R., Hu, Z., Tsukamoto Type Neural Fuzzy Inference Network, Proceedings of the American Control Conference, Chicago – Illinois, June 2000.
• [4] Van Leekwijck, W., Kerre E., Defuzzification: criteria and classification, Elsevier, Fuzzy sets and Systems 108. 1999.
• [5] Rutkowski, L., Metody i techniki sztucznej inteligencji, PWN, Warszawa, 2005.
• [6] Rutkowska, D., Piliński M., Rutkowski , L., Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, PWN, Warszawa, 1999