TY - JOUR
AU1 - Komal,
AB - To develop a food safety management system for healthcare, implementation of a proper handwashing technique could play a vital role. In general, the data representing occurrence of faults in handwashing process are incomplete, uncertain and following different probability density functions. In these conditions, faults in handwashing process cannot be fully analysed under uncertain environment by using traditional methods. So, this paper presents a novel fuzzy fault tree analysis method for handwashing process to control hygiene in developing an economic food safety management system under uncertain environment. This method applies fault tree, different fuzzy membership function, 
$$\alpha $$


α


-cut set and approximate fuzzy arithmetic operations using 
$$T_\omega $$



T
ω



 norm for obtaining fuzzy failure probability of handwashing process. The effectiveness of the presented method is illustrated by comparing the results of existing approaches. Result indicates that the presented approach is a good alternative approach under uncertain environment to the other existing approaches.
TI - A Novel FFTA for Handwashing Process to Maintain Hygiene with Events Following Different Membership Function
JF - Arabian Journal for Science and Engineering
DO - 10.1007/s13369-017-2479-1
DA - 2017-03-24
UR - https://www.deepdyve.com/lp/springer-journals/a-novel-ffta-for-handwashing-process-to-maintain-hygiene-with-events-tkK14BDqLB
SP - 3007
EP - 3019
VL - 42
IS - 7
DP - DeepDyve
ER -