TY - JOUR
T1 - The Reliability Estimation for the Open Function of Cabin Door Affected by the Imprecise Judgment Corresponding to Distribution Hypothesis
AU - Yu, Z. P.
AU - Yue, Z. F.
AU - Liu, W.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/5/16
Y1 - 2018/5/16
N2 - With the development of artificial intelligence, more and more reliability experts have noticed the roles of subjective information in the reliability design of complex system. Therefore, based on the certain numbers of experiment data and expert judgments, we have divided the reliability estimation based on distribution hypothesis into cognition process and reliability calculation. Consequently, for an illustration of this modification, we have taken the information fusion based on intuitional fuzzy belief functions as the diagnosis model of cognition process, and finished the reliability estimation for the open function of cabin door affected by the imprecise judgment corresponding to distribution hypothesis.
AB - With the development of artificial intelligence, more and more reliability experts have noticed the roles of subjective information in the reliability design of complex system. Therefore, based on the certain numbers of experiment data and expert judgments, we have divided the reliability estimation based on distribution hypothesis into cognition process and reliability calculation. Consequently, for an illustration of this modification, we have taken the information fusion based on intuitional fuzzy belief functions as the diagnosis model of cognition process, and finished the reliability estimation for the open function of cabin door affected by the imprecise judgment corresponding to distribution hypothesis.
UR - http://www.scopus.com/inward/record.url?scp=85050689949&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/359/1/012052
DO - 10.1088/1757-899X/359/1/012052
M3 - 会议文章
AN - SCOPUS:85050689949
SN - 1757-8981
VL - 359
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012052
T2 - 2018 International Conference on Computer Information and Automation Engineering, ICCIAE 2018
Y2 - 17 November 2017 through 19 November 2017
ER -