Complex System Reliability Allocation Based on Fuzzy Decision Method

Author(s):  
Hong-Bin Zhang ◽  
Zhi-Xin Jia
Author(s):  
Stephen Twum ◽  
Elaine Aspinwall

Optimal allocation of reliability to components of a system is one of the several ways of ensuring high system reliability in design. The problem which is typically formulated as single criterion optimisation encounters difficulty when the analytic system reliability expression is intractable usually as a result of complex system configuration. The current work re-examines a novel approach previously developed by the authors which takes a multicriteria view of the problem on the basis of the minimum cut sets of a system, and thus avoids finding the top level system reliability before optimisation. The model and methodology was applied to two complex system reliability allocation problems: a classical one and one associated with electricity transmission. The results were consistent with previously obtained ones by the authors and with the reliability importance of some notable components.


2021 ◽  
Vol 212 ◽  
pp. 107620
Author(s):  
Umar Muhammad Modibbo ◽  
Mohd. Arshad ◽  
Omer Abdalghani ◽  
Irfan Ali

Author(s):  
Wafae El Alem ◽  
Abdelkhalak El Hami ◽  
Rachid Ellaia ◽  
Mohammed Souissi

2014 ◽  
Vol 597 ◽  
pp. 472-475
Author(s):  
Yin Dong Zhang ◽  
Yang Liu

The decision method based on Fuzzy Synthetic Evaluation is presented to achieve skimmer selection in oil spill response. Firstly, the evaluation index system of skimmer is determined. Secondly, the fuzzy set theory is introduced to achieve quantification of skimmer qualitative indexes and the evaluation matrix of skimmer is established by expert investigation. Then the alternative skimmers are evaluated by the method of Fuzzy Synthetic Evaluation, and the optimal selection of skimmer can be obtained.


Author(s):  
Nagaraj G Cholli ◽  
Khalid Amin Shiekh ◽  
G N Srinivasan

Software rejuvenation has become a new horizon for increasing the system reliability and availability in a long run. One of the concept in software rejuvenation policy involves rebooting the system by suspending the disk and capturing the images of processes currently running in the system. In our rejuvenation policy we make use an intelligent time and load algorithm for deciding the optimal rejuvenation period. Since at any given time there can be n number of processes running in the system with different physical memory utilizations and variable workloads running, it becomes very vital to thoroughly test the system with highly chaotic and disruptive workloads. For this we use some non-traditional form of testing which we call non deterministic system testing (NDST) to test different features and conditions of system


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