[1]
A. Ejlali and S. G. Miremadi, FPGA-based Monte Carlo simulation for fault tree analysis, Microelectron Reliab 2004, 44(6): 1017–28.
DOI: 10.1016/j.microrel.2004.01.016
Google Scholar
[2]
P. Kales, Reliability: for technology, engineering, and management, Prentice-Hall, (1998).
Google Scholar
[3]
P. J. Brooke and R. F. Paige, Fault trees for security system design and analysis, Computers & Security, 2003, 22(3): 256-264.
DOI: 10.1016/s0167-4048(03)00313-4
Google Scholar
[4]
H. Tanaka, L. T. Fan, F. S. Lai, K. Toguchi, Fault-tree analysis by fuzzy probability, IEEE Trans Reliab 1983, 32: 150–63.
DOI: 10.1109/tr.1983.5221727
Google Scholar
[5]
D. Singer, A fuzzy set approach to fault tree and reliability analysis, Fuzzy Sets Syst, 1990, 34: 145–55.
DOI: 10.1016/0165-0114(90)90154-x
Google Scholar
[6]
K. Y. Cai, System failure and fuzzy methodology: An introductory overview, Fuzzy Sets Syst, 1996, 83: 113–33.
DOI: 10.1016/0165-0114(95)00385-1
Google Scholar
[7]
Y. Tsujimura and M. Gen, Fuzzy fault tree and its importance analysis, In: Proceeding of 16th ICC&IE, 1994, 301–4.
Google Scholar
[8]
P. Walley, Statistical inferences based on second-order possibility distribution, Int J General Syst, 1997, 26: 337–83.
DOI: 10.1080/03081079708945189
Google Scholar
[9]
P. V. Suresh, A. K. Babar and V. V. Raj, Uncertainty in fault tree analysis: a fuzzy approach, Fuzzy Sets Syst, 1996, 83: 135–141.
DOI: 10.1016/0165-0114(95)00386-x
Google Scholar
[10]
C. F. G. Antonio, F. F. E. Nelson, FuzzyFTA: a fuzzy fault tree system for uncertainty analysis, Ann Nucl Energy, 1999, 26: 523–32.
Google Scholar
[11]
K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Syst, 1986, 20: 87–96.
DOI: 10.1016/s0165-0114(86)80034-3
Google Scholar
[12]
G. Deschrijver and E. E. Kerre, On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision, Information Sciences, 2007, 177: 753 – 1866.
DOI: 10.1016/j.ins.2006.11.005
Google Scholar
[13]
H. Bustince, P. Burillo. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems 1996; 79: 403–5.
DOI: 10.1016/0165-0114(95)00154-9
Google Scholar
[14]
X. Chen, Analyzing Fuzzy System Reliability Using Vague Sets Theory, International Journal of Applied Science and Engineering, 2003, 11(1): 82-88.
Google Scholar
[15]
M.H. Shu, C.H. Cheng, J.R. Chang. Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly, Microelectronics Reliability 2006; 46: 2139–2148.
DOI: 10.1016/j.microrel.2006.01.007
Google Scholar
[16]
J. R. Chang, K. H. Chang, S. H. Liao and C. H. Cheng, The Reliability of General Vague Fault-tree Analysis on Weapon Systems Fault Diagnosis, Soft Computing, 2006, 10(8): 531-542.
DOI: 10.1007/s00500-005-0483-y
Google Scholar
[17]
S.R. Cheng, B. Lin, B.M. Hsu, M.H. Shu. Fault-tree analysis for liquefied natural gas terminal emergency shutdown system. Expert Systems with Applications 2009; 36: 11918–11924.
DOI: 10.1016/j.eswa.2009.04.011
Google Scholar
[18]
A. Kumar, S. Kumar, S.P. Yadav. New Approach for Electric Robot Fuzzy Reliability Analysis. International Journal of Performability Engineering 2007; 3(2): 257-266.
Google Scholar
[19]
R. Ferdous, F. I. Khan, B. Veitch and P. R. Amyotte, Methodology for computer-aided fault tree analysis, Institution of Chemical Engineers, 2007, 85(B1): 70–80. Table 4 Comparisons with other fault-tree analysis methods.
DOI: 10.1205/psep06002
Google Scholar