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Interval-valued intuitionistic fuzzy failure modes and effect analysis of the system failure risk estimation

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EN
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EN
Among the risk assessment methods, failure modes and effects analysis (FMEA) is a popular, widely used engineering technique in many areas. It can be used to identify and eliminate known or potential failure modes to enhance reliability and safety of complex systems. In practice, risk estimations encounter difficulties connected with shortage of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, the decision makers might be unable to assign the exact values to the evaluation judgments due to his/her limited knowledge. In other words, there is a certain degree of hesitancy in human cognition and his/her judgment, who may have insufficient knowledge of the problem domain or uncertainty in assigning the evaluation values to the objects considered. In order to deal with ambiguity and uncertainty in the imperfect information, there have been recently proposed many various such theories as fuzzy sets, interval-valued fuzzy sets, type-2 fuzzy sets, hesitant sets, grey sets, rough sets and intuitionistic fuzzy sets. They have drawn more and more attention of scholars and been adopted in many applications This article addresses the Atanassov’s interval-valued intuitionistic fuzzy sets and FMEA methods in the risk estimation of the system failures based on the expert judgments.
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  • Gdynia Maritime University Department of Engineering Sciences Morska Street 81-87, 81-225 Gdynia, Poland tel.: +48 58 6901306
Bibliografia
  • [1] Abdelgawad, M., Fayek, A. R., Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP, J. Constr. Eng. Manage., Vol. 36 (9), pp. 1028-1036, 2010.
  • [2] Atanassov, K. T., Gargov, G., Interval-valued intuitionistic fuzzy sets, Fuzzy Sets and System, Vol. 31, pp. 343-349, 1989.
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  • [8] Liu, H. C., You, J. X., You, X. Y., Shan, M. M., A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method, Applied Soft Computing, Vol. 28, pp. 579-588, 2015.
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  • [12] Thillaigovindan, N., Shanthi, S. A., Naidu, J. V., A better score function for multiple criteria decision making in fuzzy environment with criteria choice under risk, Expert Systems with Applications, Vol. 59, pp. 78-85, 2016.
  • [13] Vlachos I. K., Sergiadis, G. D., Intuitionistic fuzzy information applications to pattern recognition, Pattern Recog. Lett., Vol. 28, pp. 197-206, 2007.
  • [14] Wang, Y. M., Chin, K. S., Poon, G. K. K., Yang, J. B., Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean, Expert Syst. Appl., Vol. 36 (2), pp. 1195-1207, 2009.
  • [15] Xu, Z. S., Intuitionistic preference relations and their application in group decision making, Information Sciences, Vol. 177, pp. 2363-2379, 2007.
  • [16] Xu, Z. S., Liao, H. C., Intuitionistic fuzzy analytic hierarchy process, IEEE Transactions on Fuzzy Systems, Vol. 22, No. 4, pp. 749-761, 2014.
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
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Bibliografia
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