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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Purpose This study is to investigate an advanced approach to analyze the system reliability by integrating Dempster-Shafer Theory (DST) and Intuitionistic Fuzzy Set (IFS) System which assess the quantification of uncertainty caused by vagueness and incompleteness in the reliability information of the component. Methods The IFS is employed to validate the information of membership function and non-membership function with three intervals that include belief, ignorance and disbelief functions. DST reflects various opinions from the experts in the field, and it is beneficial in decreasing the uncertainty of component reliability using combination rule. In particular, DST is highly applicable when the reliability of fuzzy number in IFS is obscure and lacking the major information. Results A novel method for analyzing fuzzy system failure was identified based on the proposed system that illustrates the Integrated Body Unit (IBU) consisting of 4 components with 11 parts. Conclusion In overall, the three types of Triangular Intuitionistic Fuzzy Set (TIFS) with DST rule were implemented for computing Fuzzy system reliability of series structure and the parallel structure attributed to the uncertainty of reliability information.
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참고문헌 (28)
참고문헌 신청
Aguirre F. / 2013 / Application of Evidential Networks in Quantitative Analysis of Railway Accidents / Journal of Risk and Reliability 227(4):368~384
Albeanu G. / 2010 / Intuitionistic Fuzzy Methods in Software Reliability Modelling / Journal of Sustainable Energy 1(1):1~5
Bohra K. S. / 2015 / Evaluating Fuzzy System Reliability Using Intuitionistic Fuzzy Rayleigh Lifetime Distribution, Mathematics in Engineering / Science and Aerospace 6(2):245~254
최성운 / 2019 / 불확실한 환경하의 FMEA에서 Fuzzy DST/AHP, TOPSIS, Grey이론을 이용한 리스크 평가 적용방안 / 한국경영공학회지 24(3):65~87
최성운 / 2018 / TPM에서 퍼지 OEE 모형의 개발 및 분석 / 한국경영공학회지 23(4):87~103
Albeanu G. / 2010 / Intuitionistic Fuzzy Methods in Software Reliability Modelling / Journal of Sustainable Energy 1(1):1~5
Bohra K. S. / 2015 / Evaluating Fuzzy System Reliability Using Intuitionistic Fuzzy Rayleigh Lifetime Distribution, Mathematics in Engineering / Science and Aerospace 6(2):245~254
최성운 / 2019 / 불확실한 환경하의 FMEA에서 Fuzzy DST/AHP, TOPSIS, Grey이론을 이용한 리스크 평가 적용방안 / 한국경영공학회지 24(3):65~87
최성운 / 2018 / TPM에서 퍼지 OEE 모형의 개발 및 분석 / 한국경영공학회지 23(4):87~103
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